Andreas Geiger

332 papers A* 95A 6B 5C 2Misc 3Journal 173Unranked 45
YearRankTypeTitle / Venue / Authors
2026 J jnl
EVolSplat4D: Efficient Volume-based Gaussian Splatting for 4D Urban Scene Synthesis.
CoRR
Sheng Miao, Sijin Li, Pan Wang, Dongfeng Bai, Bingbing Liu, Yue Wang, Andreas Geiger, Yiyi Liao
2026 J jnl
FrankenMotion: Part-level Human Motion Generation and Composition.
CoRR
Chuqiao Li, Xianghui Xie, Yong Cao, Andreas Geiger, Gerard Pons-Moll
2026 J jnl
HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving.
IEEE Trans. Pattern Anal. Mach. Intell.
Hongyu Zhou, Longzhong Lin, Jiabao Wang, Yichong Lu, Dongfeng Bai, Bingbing Liu, Yue Wang, Andreas Geiger, Yiyi Liao
2026 J jnl
UniComp: A Unified Evaluation of Large Language Model Compression via Pruning, Quantization and Distillation.
CoRR
Jonathan von Rad, Yong Cao, Andreas Geiger
2025 J jnl
3D-LATTE: Latent Space 3D Editing from Textual Instructions.
CoRR
Maria Parelli, Michael Oechsle, Michael Niemeyer, Federico Tombari, Andreas Geiger
2025 A* conf
Artificial Kuramoto Oscillatory Neurons.
ICLR
Takeru Miyato, Sindy Löwe, Andreas Geiger, Max Welling
2025 — conf
Benchmarking Feature Upsampling Methods for Vision Foundation Models Using Interactive Segmentation.
ICCVW
Volodymyr Havrylov, Haiwen Huang, Dan Zhang, Andreas Geiger
2025 J jnl
Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive Segmentation.
CoRR
Volodymyr Havrylov, Haiwen Huang, Dan Zhang, Andreas Geiger
2025 J jnl
CaRL: Learning Scalable Planning Policies with Simple Rewards.
CoRR
Bernhard Jaeger, Daniel Dauner, Jens Beißwenger, Simon Gerstenecker, Kashyap Chitta, Andreas Geiger
2025 J jnl
Centaur: Robust End-to-End Autonomous Driving with Test-Time Training.
CoRR
Chonghao Sima, Kashyap Chitta, Zhiding Yu, Shiyi Lan, Ping Luo, Andreas Geiger, Hongyang Li, José M. Álvarez
2025 J jnl
ConeGS: Error-Guided Densification Using Pixel Cones for Improved Reconstruction with Fewer Primitives.
CoRR
Bartlomiej Baranowski, Stefano Esposito, Patricia Gschoßmann, Anpei Chen, Andreas Geiger
2025 A* conf
DepthSplat: Connecting Gaussian Splatting and Depth.
CVPR
Haofei Xu, Songyou Peng, Fangjinhua Wang, Hermann Blum, Daniel Barath, Andreas Geiger, Marc Pollefeys
2025 A* conf
EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis.
CVPR
Sheng Miao, Jiaxin Huang, Dongfeng Bai, Xu Yan, Hongyu Zhou, Yue Wang, Bingbing Liu, Andreas Geiger, Yiyi Liao
2025 J jnl
EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis.
CoRR
Sheng Miao, Jiaxin Huang, Dongfeng Bai, Xu Yan, Hongyu Zhou, Yue Wang, Bingbing Liu, Andreas Geiger, Yiyi Liao
2025 J jnl
Easi3R: Estimating Disentangled Motion from DUSt3R Without Training.
CoRR
Xingyu Chen, Yue Chen, Yuliang Xiu, Andreas Geiger, Anpei Chen
2025 J jnl
Emperror: A Flexible Generative Perception Error Model for Probing Self-Driving Planners.
IEEE Robotics Autom. Lett.
Niklas Hanselmann, Simon Doll, Marius Cordts, Hendrik P. A. Lensch, Andreas Geiger
2025 A* conf
GenFusion: Closing the Loop between Reconstruction and Generation via Videos.
CVPR
Sibo Wu, Congrong Xu, Binbin Huang, Andreas Geiger, Anpei Chen
2025 J jnl
GenFusion: Closing the Loop between Reconstruction and Generation via Videos.
CoRR
Sibo Wu, Congrong Xu, Binbin Huang, Andreas Geiger, Anpei Chen
2025 J jnl
LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving.
CoRR
Long Nguyen, Micha Fauth, Bernhard Jaeger, Daniel Dauner, Maximilian Igl, Andreas Geiger, Kashyap Chitta
2025 J jnl
LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models.
CoRR
Haiwen Huang, Anpei Chen, Volodymyr Havrylov, Andreas Geiger, Dan Zhang
2025 J jnl
MDPO: Overcoming the Training-Inference Divide of Masked Diffusion Language Models.
CoRR
Haoyu He, Katrin Renz, Yong Cao, Andreas Geiger
2025 J jnl
MoGA: 3D Generative Avatar Prior for Monocular Gaussian Avatar Reconstruction.
CoRR
Zijian Dong, Longteng Duan, Jie Song, Michael J. Black, Andreas Geiger
2025 J jnl
PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiao Fu, Shangzhan Zhang, Tianrun Chen, Yichong Lu, Xiaowei Zhou, Andreas Geiger, Yiyi Liao
2025 J jnl
PlanT 2.0: Exposing Biases and Structural Flaws in Closed-Loop Driving.
CoRR
Simon Gerstenecker, Andreas Geiger, Katrin Renz
2025 J jnl
PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Scenes.
CoRR
Christina Ourania Tze, Daniel Dauner, Yiyi Liao, Dzmitry Tsishkou, Andreas Geiger
2025 A* conf
Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation.
CVPR
Yuanbo Yang, Jiahao Shao, Xinyang Li, Yujun Shen, Andreas Geiger, Yiyi Liao
2025 J jnl
Pseudo-Simulation for Autonomous Driving.
CoRR
Wei Cao, Marcel Hallgarten, Tianyu Li, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
2025 J jnl
ReSim: Reliable World Simulation for Autonomous Driving.
CoRR
Jiazhi Yang, Kashyap Chitta, Shenyuan Gao, Long Chen, Yuqian Shao, Xiaosong Jia, Hongyang Li, Andreas Geiger, Xiangyu Yue, Li Chen
2025 J jnl
ReSplat: Learning Recurrent Gaussian Splats.
CoRR
Haofei Xu, Daniel Barath, Andreas Geiger, Marc Pollefeys
2025 — conf
Relightable Full-Body Gaussian Codec Avatars.
SIGGRAPH (Conference Paper Track)
Shaofei Wang, Tomas Simon, Igor Santesteban, Timur M. Bagautdinov, Junxuan Li, Vasu Agrawal, Fabian Prada, Shoou-I Yu, Pace Nalbone, Matt Gramlich, Roman Lubachersky, Chenglei Wu, Javier Romero, Jason M. Saragih, Michael Zollhöfer, Andreas Geiger, Siyu Tang, Shunsuke Saito
2025 J jnl
Relightable Full-Body Gaussian Codec Avatars.
CoRR
Shaofei Wang, Tomas Simon, Igor Santesteban, Timur M. Bagautdinov, Junxuan Li, Vasu Agrawal, Fabian Prada, Shoou-I Yu, Pace Nalbone, Matt Gramlich, Roman Lubachersky, Chenglei Wu, Javier Romero, Jason M. Saragih, Michael Zollhöfer, Andreas Geiger, Siyu Tang, Shunsuke Saito
2025 — conf
Scholar Inbox: Personalized Paper Recommendations for Scientists.
ACL (3)
Markus Flicke, Glenn Angrabeit, Madhav Iyengar, Vitalii Protsenko, Illia Shakun, Jovan Cicvaric, Bora Kargi, Haoyu He, Lukas Schuler, Lewin Scholz, Kavyanjali Agnihotri, Yong Cao, Andreas Geiger
2025 J jnl
Scholar Inbox: Personalized Paper Recommendations for Scientists.
CoRR
Markus Flicke, Glenn Angrabeit, Madhav Iyengar, Vitalii Protsenko, Illia Shakun, Jovan Cicvaric, Bora Kargi, Haoyu He, Lukas Schuler, Lewin Scholz, Kavyanjali Agnihotri, Yong Cao, Andreas Geiger
2025 J jnl
SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving.
CoRR
Peizheng Li, Zhenghao Zhang, David Holtz, Hang Yu, Yutong Yang, Yuzhi Lai, Rui Song, Andreas Geiger, Andreas Zell
2025 — conf
SshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views.
DAGM GCPR
Eyvaz Najafli, Marius Kästingschäfer, Sebastian Bernhard, Thomas Brox, Andreas Geiger
2025 J jnl
TTT3R: 3D Reconstruction as Test-Time Training.
CoRR
Xingyu Chen, Yue Chen, Yuliang Xiu, Andreas Geiger, Anpei Chen
2025 J jnl
Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation.
CoRR
Steffen Eger, Yong Cao, Jennifer D'Souza, Andreas Geiger, Christian Greisinger, Stephanie Gross, Yufang Hou, Brigitte Krenn, Anne Lauscher, Yizhi Li, Chenghua Lin, Nafise Sadat Moosavi, Wei Zhao, Tristan Miller
2025 — conf
Unimotion: Unifying 3D Human Motion Synthesis and Understanding.
3DV
Chuqiao Li, Julian Chibane, Yannan He, Naama Pearl, Andreas Geiger, Gerard Pons-Moll
2025 A* conf
UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation.
CVPR
Yichong Lu, Yichi Cai, Shangzhan Zhang, Hongyu Zhou, Haoji Hu, Huimin Yu, Andreas Geiger, Yiyi Liao
2025 A* conf
Volumetric Surfaces: Representing Fuzzy Geometries with Layered Meshes.
CVPR
Stefano Esposito, Anpei Chen, Christian Reiser, Samuel Rota Bulò, Lorenzo Porzi, Katja Schwarz, Christian Richardt, Michael Zollhöfer, Peter Kontschieder, Andreas Geiger
2025 J jnl
sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views.
CoRR
Eyvaz Najafli, Marius Kästingschäfer, Sebastian Bernhard, Thomas Brox, Andreas Geiger
2024 — conf
2D Gaussian Splatting for Geometrically Accurate Radiance Fields.
SIGGRAPH (Conference Paper Track)
Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, Shenghua Gao
2024 J jnl
2D Gaussian Splatting for Geometrically Accurate Radiance Fields.
CoRR
Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, Shenghua Gao
2024 A* conf
3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting.
CVPR
Zhiyin Qian, Shaofei Wang, Marko Mihajlovic, Andreas Geiger, Siyu Tang
2024 J jnl
An Invitation to Deep Reinforcement Learning.
Found. Trends Optim.
Bernhard Jaeger, Andreas Geiger
2024 J jnl
Artificial Kuramoto Oscillatory Neurons.
CoRR
Takeru Miyato, Sindy Löwe, Andreas Geiger, Max Welling
2024 J jnl
Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis.
CoRR
Christian Reiser, Stephan J. Garbin, Pratul P. Srinivasan, Dor Verbin, Richard Szeliski, Ben Mildenhall, Jonathan T. Barron, Peter Hedman, Andreas Geiger
2024 J jnl
Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis.
ACM Trans. Graph.
Christian Reiser, Stephan J. Garbin, Pratul P. Srinivasan, Dor Verbin, Richard Szeliski, Ben Mildenhall, Jonathan T. Barron, Peter Hedman, Andreas Geiger
2024 J jnl
DepthSplat: Connecting Gaussian Splatting and Depth.
CoRR
Haofei Xu, Songyou Peng, Fangjinhua Wang, Hermann Blum, Daniel Barath, Andreas Geiger, Marc Pollefeys
2024 — conf
DriveLM: Driving with Graph Visual Question Answering.
ECCV (52)
Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Hanxue Zhang, Chengen Xie, Jens Beißwenger, Ping Luo, Andreas Geiger, Hongyang Li
2024 J jnl
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners.
CoRR
Niklas Hanselmann, Simon Doll, Marius Cordts, Hendrik P. A. Lensch, Andreas Geiger
2024 — conf
Efficient Depth-Guided Urban View Synthesis.
ECCV (30)
Sheng Miao, Jiaxin Huang, Dongfeng Bai, Weichao Qiu, Bingbing Liu, Andreas Geiger, Yiyi Liao
2024 J jnl
Efficient Depth-Guided Urban View Synthesis.
CoRR
Sheng Miao, Jiaxin Huang, Dongfeng Bai, Weichao Qiu, Bingbing Liu, Andreas Geiger, Yiyi Liao
2024 A* conf
Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking.
ICRA
Yushi Liu, Alexander Qualmann, Zehao Yu, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Ngo Anh Vien, Andreas Geiger
2024 J jnl
Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking.
CoRR
Yushi Liu, Alexander Qualmann, Zehao Yu, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Ngo Anh Vien, Andreas Geiger
2024 J jnl
End-to-End Autonomous Driving: Challenges and Frontiers.
IEEE Trans. Pattern Anal. Mach. Intell.
Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, Hongyang Li
2024 A* conf
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers.
ICLR
Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger
2024 J jnl
Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes.
ACM Trans. Graph.
Zehao Yu, Torsten Sattler, Andreas Geiger
2024 J jnl
Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes.
CoRR
Zehao Yu, Torsten Sattler, Andreas Geiger
2024 A* conf
Generalized Predictive Model for Autonomous Driving.
CVPR
Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li
2024 J jnl
Generalized Predictive Model for Autonomous Driving.
CoRR
Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li
2024 A* conf
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs.
CVPR
Gege Gao, Weiyang Liu, Anpei Chen, Andreas Geiger, Bernhard Schölkopf
2024 J jnl
HDT: Hierarchical Document Transformer.
CoRR
Haoyu He, Markus Flicke, Jan Buchmann, Iryna Gurevych, Andreas Geiger
2024 A* conf
HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting.
CVPR
Hongyu Zhou, Jiahao Shao, Lu Xu, Dongfeng Bai, Weichao Qiu, Bingbing Liu, Yue Wang, Andreas Geiger, Yiyi Liao
2024 J jnl
HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting.
CoRR
Hongyu Zhou, Jiahao Shao, Lu Xu, Dongfeng Bai, Weichao Qiu, Bingbing Liu, Yue Wang, Andreas Geiger, Yiyi Liao
2024 J jnl
HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving.
CoRR
Hongyu Zhou, Longzhong Lin, Jiabao Wang, Yichong Lu, Dongfeng Bai, Bingbing Liu, Yue Wang, Andreas Geiger, Yiyi Liao
2024 J jnl
Hidden Biases of End-to-End Driving Datasets.
CoRR
Julian Zimmerlin, Jens Beißwenger, Bernhard Jaeger, Andreas Geiger, Kashyap Chitta
2024 A* conf
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing.
CVPR
Shaofei Wang, Bozidar Antic, Andreas Geiger, Siyu Tang
2024 — conf
LISO: Lidar-Only Self-supervised 3D Object Detection.
ECCV (86)
Stefan Andreas Baur, Frank Moosmann, Andreas Geiger
2024 J jnl
LISO: Lidar-only Self-Supervised 3D Object Detection.
CoRR
Stefan A. Baur, Frank Moosmann, Andreas Geiger
2024 — conf
LaRa: Efficient Large-Baseline Radiance Fields.
ECCV (11)
Anpei Chen, Haofei Xu, Stefano Esposito, Siyu Tang, Andreas Geiger
2024 J jnl
LaRa: Efficient Large-Baseline Radiance Fields.
CoRR
Anpei Chen, Haofei Xu, Stefano Esposito, Siyu Tang, Andreas Geiger
2024 J jnl
Level-Set Parameters: Novel Representation for 3D Shape Analysis.
CoRR
Huan Lei, Hongdong Li, Andreas Geiger, Anthony Dick
2024 J jnl
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images.
CoRR
Yuedong Chen, Haofei Xu, Chuanxia Zheng, Bohan Zhuang, Marc Pollefeys, Andreas Geiger, Tat-Jen Cham, Jianfei Cai
2024 — conf
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-view Images.
ECCV (21)
Yuedong Chen, Haofei Xu, Chuanxia Zheng, Bohan Zhuang, Marc Pollefeys, Andreas Geiger, Tat-Jen Cham, Jianfei Cai
2024 A* conf
Mip-Splatting: Alias-Free 3D Gaussian Splatting.
CVPR
Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler, Andreas Geiger
2024 A* conf
MuRF: Multi-Baseline Radiance Fields.
CVPR
Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, Fisher Yu
2024 A* conf
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking.
NeurIPS
Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
2024 J jnl
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking.
CoRR
Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
2024 — conf
NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM.
3DV
Zihan Zhu, Songyou Peng, Viktor Larsson, Zhaopeng Cui, Martin R. Oswald, Andreas Geiger, Marc Pollefeys
2024 A* conf
NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis.
CVPR
Zinuo You, Andreas Geiger, Anpei Chen
2024 J jnl
Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation.
CoRR
Yuanbo Yang, Jiahao Shao, Xinyang Li, Yujun Shen, Andreas Geiger, Yiyi Liao
2024 A* conf
Renovating Names in Open-Vocabulary Segmentation Benchmarks.
NeurIPS
Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger
2024 J jnl
Renovating Names in Open-Vocabulary Segmentation Benchmarks.
CoRR
Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger
2024 — conf
SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic.
ECCV (4)
Kashyap Chitta, Daniel Dauner, Andreas Geiger
2024 J jnl
SLEDGE: Synthesizing Simulation Environments for Driving Agents with Generative Models.
CoRR
Kashyap Chitta, Daniel Dauner, Andreas Geiger
2024 J jnl
Unimotion: Unifying 3D Human Motion Synthesis and Understanding.
CoRR
Chuqiao Li, Julian Chibane, Yannan He, Naama Pearl, Andreas Geiger, Gerard Pons-Moll
2024 J jnl
UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation.
CoRR
Yichong Lu, Yichi Cai, Shangzhan Zhang, Hongyu Zhou, Haoji Hu, Huimin Yu, Andreas Geiger, Yiyi Liao
2024 A* conf
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability.
NeurIPS
Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li
2024 J jnl
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability.
CoRR
Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li
2024 J jnl
Volumetric Surfaces: Representing Fuzzy Geometries with Multiple Meshes.
CoRR
Stefano Esposito, Anpei Chen, Christian Reiser, Samuel Rota Bulò, Lorenzo Porzi, Katja Schwarz, Christian Richardt, Michael Zollhöfer, Peter Kontschieder, Andreas Geiger
2024 A* conf
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space.
ICLR
Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis
2023 J jnl
3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting.
CoRR
Zhiyin Qian, Shaofei Wang, Marko Mihajlovic, Andreas Geiger, Siyu Tang
2023 A* conf
AG3D: Learning to Generate 3D Avatars from 2D Image Collections.
ICCV
Zijian Dong, Xu Chen, Jinlong Yang, Michael J. Black, Otmar Hilliges, Andreas Geiger
2023 J jnl
AG3D: Learning to Generate 3D Avatars from 2D Image Collections.
CoRR
Zijian Dong, Xu Chen, Jinlong Yang, Michael J. Black, Otmar Hilliges, Andreas Geiger
2023 J jnl
An Invitation to Deep Reinforcement Learning.
CoRR
Bernhard Jaeger, Andreas Geiger
2023 J jnl
Dictionary Fields: Learning a Neural Basis Decomposition.
ACM Trans. Graph.
Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger
2023 J jnl
DriveLM: Driving with Graph Visual Question Answering.
CoRR
Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Hanxue Zhang, Chengen Xie, Ping Luo, Andreas Geiger, Hongyang Li
2023 J jnl
End-to-end Autonomous Driving: Challenges and Frontiers.
CoRR
Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, Hongyang Li
2023 J jnl
Factor Fields: A Unified Framework for Neural Fields and Beyond.
CoRR
Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger
2023 J jnl
Fast-SNARF: A Fast Deformer for Articulated Neural Fields.
IEEE Trans. Pattern Anal. Mach. Intell.
Xu Chen, Tianjian Jiang, Jie Song, Max Rietmann, Andreas Geiger, Michael J. Black, Otmar Hilliges
2023 A* conf
GOOD: Exploring geometric cues for detecting objects in an open world.
ICLR
Haiwen Huang, Andreas Geiger, Dan Zhang
2023 J jnl
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers.
CoRR
Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger
2023 J jnl
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs.
CoRR
Gege Gao, Weiyang Liu, Anpei Chen, Andreas Geiger, Bernhard Schölkopf
2023 A* conf
Hidden Biases of End-to-End Driving Models.
ICCV
Bernhard Jaeger, Kashyap Chitta, Andreas Geiger
2023 J jnl
Hidden Biases of End-to-End Driving Models.
CoRR
Bernhard Jaeger, Kashyap Chitta, Andreas Geiger
2023 J jnl
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing.
CoRR
Shaofei Wang, Bozidar Antic, Andreas Geiger, Siyu Tang
2023 J jnl
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D.
IEEE Trans. Pattern Anal. Mach. Intell.
Yiyi Liao, Jun Xie, Andreas Geiger
2023 J jnl
MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes.
CoRR
Christian Reiser, Richard Szeliski, Dor Verbin, Pratul P. Srinivasan, Ben Mildenhall, Andreas Geiger, Jonathan T. Barron, Peter Hedman
2023 J jnl
MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes.
ACM Trans. Graph.
Christian Reiser, Richard Szeliski, Dor Verbin, Pratul P. Srinivasan, Ben Mildenhall, Andreas Geiger, Jonathan T. Barron, Peter Hedman
2023 J jnl
Mip-Splatting: Alias-free 3D Gaussian Splatting.
CoRR
Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler, Andreas Geiger
2023 J jnl
MuRF: Multi-Baseline Radiance Fields.
CoRR
Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, Fisher Yu
2023 J jnl
NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM.
CoRR
Zihan Zhu, Songyou Peng, Viktor Larsson, Zhaopeng Cui, Martin R. Oswald, Andreas Geiger, Marc Pollefeys
2023 J jnl
NeLF-Pro: Neural Light Field Probes.
CoRR
Zinuo You, Andreas Geiger, Anpei Chen
2023 J jnl
NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields.
IEEE Trans. Vis. Comput. Graph.
Liangchen Song, Anpei Chen, Zhong Li, Zhang Chen, Lele Chen, Junsong Yuan, Yi Xu, Andreas Geiger
2023 — conf
On Offline Evaluation of 3D Object Detection for Autonomous Driving.
ICCV (Workshops)
Tim Schreier, Katrin Renz, Andreas Geiger, Kashyap Chitta
2023 J jnl
On Offline Evaluation of 3D Object Detection for Autonomous Driving.
CoRR
Tim Schreier, Katrin Renz, Andreas Geiger, Kashyap Chitta
2023 J jnl
PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes.
CoRR
Xiao Fu, Shangzhan Zhang, Tianrun Chen, Yichong Lu, Xiaowei Zhou, Andreas Geiger, Yiyi Liao
2023 Misc conf
Parting with Misconceptions about Learning-based Vehicle Motion Planning.
CoRL
Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta
2023 J jnl
Parting with Misconceptions about Learning-based Vehicle Motion Planning.
CoRR
Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta
2023 C conf
Self-Supervised Occupancy Grid Map Completion for Automated Driving.
IV
Jugoslav Stojcheski, Thomas Nürnberg, Michael Ulrich, Thomas Michalke, Claudius Gläser, Andreas Geiger
2023 A* conf
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis.
ICML
Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila
2023 J jnl
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis.
CoRR
Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila
2023 J jnl
Towards Scalable Multi-View Reconstruction of Geometry and Materials.
CoRR
Carolin Schmitt, Bozidar Antic, Neculai Andrei, Joo Ho Lee, Andreas Geiger
2023 J jnl
Towards Scalable Multi-View Reconstruction of Geometry and Materials.
IEEE Trans. Pattern Anal. Mach. Intell.
Carolin Schmitt, Bozidar Antic, Neculai Andrei, Joo Ho Lee, Andreas Geiger
2023 J jnl
TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving.
IEEE Trans. Pattern Anal. Mach. Intell.
Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger
2023 J jnl
Unifying Flow, Stereo and Depth Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger
2023 J jnl
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space.
CoRR
Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis
2022 — conf
ARAH: Animatable Volume Rendering of Articulated Human SDFs.
ECCV (32)
Shaofei Wang, Katja Schwarz, Andreas Geiger, Siyu Tang
2022 J jnl
ARAH: Animatable Volume Rendering of Articulated Human SDFs.
CoRR
Shaofei Wang, Katja Schwarz, Andreas Geiger, Siyu Tang
2022 J jnl
Fast-SNARF: A Fast Deformer for Articulated Neural Fields.
CoRR
Xu Chen, Tianjian Jiang, Jie Song, Max Rietmann, Andreas Geiger, Michael J. Black, Otmar Hilliges
2022 J jnl
GOOD: Exploring Geometric Cues for Detecting Objects in an Open World.
CoRR
Haiwen Huang, Andreas Geiger, Dan Zhang
2022 — conf
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients.
ECCV (38)
Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger
2022 J jnl
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients.
CoRR
Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger
2022 A* conf
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction.
NeurIPS
Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger
2022 J jnl
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction.
CoRR
Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger
2022 J jnl
NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields.
CoRR
Liangchen Song, Anpei Chen, Zhong Li, Zhang Chen, Lele Chen, Junsong Yuan, Yi Xu, Andreas Geiger
2022 — conf
Neural Implicit Representations for 3D Vision and Beyond.
VISIGRAPP
Andreas Geiger
2022 A* conf
PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence.
CVPR
Zijian Dong, Chen Guo, Jie Song, Xu Chen, Andreas Geiger, Otmar Hilliges
2022 J jnl
PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence.
CoRR
Zijian Dong, Chen Guo, Jie Song, Xu Chen, Andreas Geiger, Otmar Hilliges
2022 — conf
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation.
3DV
Xiao Fu, Shangzhan Zhang, Tianrun Chen, Yichong Lu, Lanyun Zhu, Xiaowei Zhou, Andreas Geiger, Yiyi Liao
2022 J jnl
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation.
CoRR
Xiao Fu, Shangzhan Zhang, Tianrun Chen, Yichong Lu, Lanyun Zhu, Xiaowei Zhou, Andreas Geiger, Yiyi Liao
2022 Misc conf
PlanT: Explainable Planning Transformers via Object-Level Representations.
CoRL
Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger
2022 J jnl
PlanT: Explainable Planning Transformers via Object-Level Representations.
CoRR
Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger
2022 A* conf
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs.
CVPR
Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan
2022 — conf
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets.
SIGGRAPH (Conference Paper Track)
Axel Sauer, Katja Schwarz, Andreas Geiger
2022 J jnl
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets.
CoRR
Axel Sauer, Katja Schwarz, Andreas Geiger
2022 — conf
TensoRF: Tensorial Radiance Fields.
ECCV (32)
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su
2022 J jnl
TensoRF: Tensorial Radiance Fields.
CoRR
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su
2022 J jnl
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving.
CoRR
Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger
2022 J jnl
Unifying Flow, Stereo and Depth Estimation.
CoRR
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger
2022 A* conf
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids.
NeurIPS
Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, Andreas Geiger
2022 J jnl
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids.
CoRR
Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, Andreas Geiger
2022 A* conf
gDNA: Towards Generative Detailed Neural Avatars.
CVPR
Xu Chen, Tianjian Jiang, Jie Song, Jinlong Yang, Michael J. Black, Andreas Geiger, Otmar Hilliges
2022 J jnl
gDNA: Towards Generative Detailed Neural Avatars.
CoRR
Xu Chen, Tianjian Jiang, Jie Song, Jinlong Yang, Michael J. Black, Andreas Geiger, Otmar Hilliges
2021 A* conf
ATISS: Autoregressive Transformers for Indoor Scene Synthesis.
NeurIPS
Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler
2021 J jnl
ATISS: Autoregressive Transformers for Indoor Scene Synthesis.
CoRR
Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler
2021 J jnl
Benchmarking Unsupervised Object Representations for Video Sequences.
J. Mach. Learn. Res.
Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker
2021 — conf
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields.
3DV
Michael Niemeyer, Andreas Geiger
2021 J jnl
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields.
CoRR
Michael Niemeyer, Andreas Geiger
2021 J jnl
Computer Vision and Pattern Recognition 2020.
Int. J. Comput. Vis.
Zeynep Akata, Andreas Geiger, Torsten Sattler
2021 A* conf
Counterfactual Generative Networks.
ICLR
Axel Sauer, Andreas Geiger
2021 J jnl
Counterfactual Generative Networks.
CoRR
Axel Sauer, Andreas Geiger
2021 A* conf
GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields.
CVPR
Michael Niemeyer, Andreas Geiger
2021 J jnl
HOTA: A Higher Order Metric for Evaluating Multi-object Tracking.
Int. J. Comput. Vis.
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, Bastian Leibe
2021 J jnl
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D.
CoRR
Yiyi Liao, Jun Xie, Andreas Geiger
2021 A* conf
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs.
ICCV
Christian Reiser, Songyou Peng, Yiyi Liao, Andreas Geiger
2021 J jnl
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs.
CoRR
Christian Reiser, Songyou Peng, Yiyi Liao, Andreas Geiger
2021 C conf
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation.
IV
Niklas Hanselmann, Nick Schneider, Benedikt Ortelt, Andreas Geiger
2021 J jnl
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation.
CoRR
Niklas Hanselmann, Nick Schneider, Benedikt Ortelt, Andreas Geiger
2021 J jnl
Learning Steering Kernels for Guided Depth Completion.
IEEE Trans. Image Process.
Lina Liu, Yiyi Liao, Yue Wang, Andreas Geiger, Yong Liu
2021 A* conf
Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration.
CVPR
Shaofei Wang, Andreas Geiger, Siyu Tang
2021 J jnl
Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration.
CoRR
Shaofei Wang, Andreas Geiger, Siyu Tang
2021 A* conf
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images.
NeurIPS
Shaofei Wang, Marko Mihajlovic, Qianli Ma, Andreas Geiger, Siyu Tang
2021 J jnl
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images.
CoRR
Shaofei Wang, Marko Mihajlovic, Qianli Ma, Andreas Geiger, Siyu Tang
2021 A* conf
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving.
CVPR
Aditya Prakash, Kashyap Chitta, Andreas Geiger
2021 J jnl
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving.
CoRR
Aditya Prakash, Kashyap Chitta, Andreas Geiger
2021 A* conf
NEAT: Neural Attention Fields for End-to-End Autonomous Driving.
ICCV
Kashyap Chitta, Aditya Prakash, Andreas Geiger
2021 J jnl
NEAT: Neural Attention Fields for End-to-End Autonomous Driving.
CoRR
Kashyap Chitta, Aditya Prakash, Andreas Geiger
2021 A* conf
Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks.
CVPR
Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler
2021 J jnl
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks.
CoRR
Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler
2021 A* conf
On the Frequency Bias of Generative Models.
NeurIPS
Katja Schwarz, Yiyi Liao, Andreas Geiger
2021 J jnl
On the Frequency Bias of Generative Models.
CoRR
Katja Schwarz, Yiyi Liao, Andreas Geiger
2021 — ed.
Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28 - October 1, 2020, Proceedings
GCPR
Zeynep Akata, Andreas Geiger, Torsten Sattler
2021 A* conf
Projected GANs Converge Faster.
NeurIPS
Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger
2021 J jnl
Projected GANs Converge Faster.
CoRR
Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger
2021 J jnl
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs.
CoRR
Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan
2021 A* conf
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation.
ICCV
Stefan Andreas Baur, David Josef Emmerichs, Frank Moosmann, Peter Pinggera, Björn Ommer, Andreas Geiger
2021 A* conf
SMD-Nets: Stereo Mixture Density Networks.
CVPR
Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger
2021 J jnl
SMD-Nets: Stereo Mixture Density Networks.
CoRR
Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger
2021 A* conf
SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes.
ICCV
Xu Chen, Yufeng Zheng, Michael J. Black, Otmar Hilliges, Andreas Geiger
2021 J jnl
SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes.
CoRR
Xu Chen, Yufeng Zheng, Michael J. Black, Otmar Hilliges, Andreas Geiger
2021 — conf
STEP: Segmenting and Tracking Every Pixel.
NeurIPS Datasets and Benchmarks
Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen
2021 J jnl
STEP: Segmenting and Tracking Every Pixel.
CoRR
Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen
2021 A* conf
Shape As Points: A Differentiable Poisson Solver.
NeurIPS
Songyou Peng, Chiyu Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger
2021 J jnl
Shape As Points: A Differentiable Poisson Solver.
CoRR
Songyou Peng, Chiyu Max Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger
2021 A* conf
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction.
ICCV
Michael Oechsle, Songyou Peng, Andreas Geiger
2021 J jnl
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction.
CoRR
Michael Oechsle, Songyou Peng, Andreas Geiger
2020 — conf
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis.
ECCV (26)
Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges
2020 J jnl
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis.
CoRR
Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges
2020 J jnl
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art.
Found. Trends Comput. Graph. Vis.
Joel Janai, Fatma Güney, Aseem Behl, Andreas Geiger
2020 — conf
Convolutional Occupancy Networks.
ECCV (3)
Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger
2020 J jnl
Convolutional Occupancy Networks.
CoRR
Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger
2020 A* conf
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision.
CVPR
Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger
2020 A* conf
Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving.
CVPR
Aditya Prakash, Aseem Behl, Eshed Ohn-Bar, Kashyap Chitta, Andreas Geiger
2020 J jnl
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields.
CoRR
Michael Niemeyer, Andreas Geiger
2020 A* conf
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis.
NeurIPS
Katja Schwarz, Yiyi Liao, Michael Niemeyer, Andreas Geiger
2020 J jnl
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis.
CoRR
Katja Schwarz, Yiyi Liao, Michael Niemeyer, Andreas Geiger
2020 J jnl
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking.
CoRR
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, Bastian Leibe
2020 — conf
Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition.
3DV
Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Varun Jampani, Matthias Nießner, Andreas Geiger, Carsten Rother
2020 J jnl
Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition.
CoRR
Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Matthias Nießner, Andreas Geiger, Carsten Rother
2020 A conf
Label Efficient Visual Abstractions for Autonomous Driving.
IROS
Aseem Behl, Kashyap Chitta, Aditya Prakash, Eshed Ohn-Bar, Andreas Geiger
2020 J jnl
Label Efficient Visual Abstractions for Autonomous Driving.
CoRR
Aseem Behl, Kashyap Chitta, Aditya Prakash, Eshed Ohn-Bar, Andreas Geiger
2020 J jnl
Learning 3D Shape Completion Under Weak Supervision.
Int. J. Comput. Vis.
David Stutz, Andreas Geiger
2020 — conf
Learning Implicit Surface Light Fields.
3DV
Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars M. Mescheder, Thilo Strauss, Andreas Geiger
2020 J jnl
Learning Implicit Surface Light Fields.
CoRR
Michael Oechsle, Michael Niemeyer, Lars M. Mescheder, Thilo Strauss, Andreas Geiger
2020 J jnl
Learning Neural Light Transport.
CoRR
Paul Sanzenbacher, Lars M. Mescheder, Andreas Geiger
2020 A* conf
Learning Situational Driving.
CVPR
Eshed Ohn-Bar, Aditya Prakash, Aseem Behl, Kashyap Chitta, Andreas Geiger
2020 A* conf
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image.
CVPR
Despoina Paschalidou, Luc Van Gool, Andreas Geiger
2020 J jnl
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image.
CoRR
Despoina Paschalidou, Luc Van Gool, Andreas Geiger
2020 A* conf
On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner.
CVPR
Carolin Schmitt, Simon Donné, Gernot Riegler, Vladlen Koltun, Andreas Geiger
2020 J jnl
Self-Supervised Linear Motion Deblurring.
CoRR
Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, Andreas Geiger
2020 J jnl
Self-Supervised Linear Motion Deblurring.
IEEE Robotics Autom. Lett.
Peidong Liu, Joel Janai, Marc Pollefeys, Torsten Sattler, Andreas Geiger
2020 A* conf
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis.
CVPR
Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger
2020 J jnl
Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences.
CoRR
Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker
2019 A* conf
Attacking Optical Flow.
ICCV
Anurag Ranjan, Joel Janai, Andreas Geiger, Michael J. Black
2019 J jnl
Attacking Optical Flow.
CoRR
Anurag Ranjan, Joel Janai, Andreas Geiger, Michael J. Black
2019 A* conf
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation.
CVPR
Gernot Riegler, Yiyi Liao, Simon Donné, Vladlen Koltun, Andreas Geiger
2019 J jnl
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision.
CoRR
Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger
2019 A* conf
Learning Non-Volumetric Depth Fusion Using Successive Reprojections.
CVPR
Simon Donné, Andreas Geiger
2019 A* conf
MOTS: Multi-Object Tracking and Segmentation.
CVPR
Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe
2019 J jnl
MOTS: Multi-Object Tracking and Segmentation.
CoRR
Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe
2019 — conf
NoVA: Learning to See in Novel Viewpoints and Domains.
3DV
Benjamin Coors, Alexandru Paul Condurache, Andreas Geiger
2019 A* conf
Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics.
ICCV
Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger
2019 A* conf
Occupancy Networks: Learning 3D Reconstruction in Function Space.
CVPR
Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger
2019 A* conf
PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds.
CVPR
Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger
2019 A* conf
Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System.
ICRA
Lionel Heng, Benjamin Choi, Zhaopeng Cui, Marcel Geppert, Sixing Hu, Benson Kuan, Peidong Liu, Rang M. H. Nguyen, Ye Chuan Yeo, Andreas Geiger, Gim Hee Lee, Marc Pollefeys, Torsten Sattler
2019 J jnl
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials.
CoRR
Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger
2019 A* conf
Real-Time Dense Mapping for Self-Driving Vehicles using Fisheye Cameras.
ICRA
Zhaopeng Cui, Lionel Heng, Ye Chuan Yeo, Andreas Geiger, Marc Pollefeys, Torsten Sattler
2019 J jnl
Robust Dense Mapping for Large-Scale Dynamic Environments.
CoRR
Ioan Andrei Bârsan, Peidong Liu, Marc Pollefeys, Andreas Geiger
2019 A* conf
Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids.
CVPR
Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger
2019 J jnl
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids.
CoRR
Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger
2019 A* conf
Taking a Deeper Look at the Inverse Compositional Algorithm.
CVPR
Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger
2019 A* conf
Texture Fields: Learning Texture Representations in Function Space.
ICCV
Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger
2019 J jnl
Texture Fields: Learning Texture Representations in Function Space.
CoRR
Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger
2019 J jnl
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis.
CoRR
Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger
2018 J jnl
Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes.
Int. J. Comput. Vis.
Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother
2018 Misc conf
Conditional Affordance Learning for Driving in Urban Environments.
CoRL
Axel Sauer, Nikolay Savinov, Andreas Geiger
2018 J jnl
Conditional Affordance Learning for Driving in Urban Environments.
CoRR
Axel Sauer, Nikolay Savinov, Andreas Geiger
2018 A* conf
Deep Marching Cubes: Learning Explicit Surface Representations.
CVPR
Yiyi Liao, Simon Donné, Andreas Geiger
2018 — conf
Geometric Image Synthesis.
ACCV (6)
Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger, Carsten Rother
2018 J jnl
Geometric Image Synthesis.
CoRR
Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger, Carsten Rother
2018 A* conf
Learning 3D Shape Completion From Laser Scan Data With Weak Supervision.
CVPR
David Stutz, Andreas Geiger
2018 J jnl
Learning 3D Shape Completion under Weak Supervision.
CoRR
David Stutz, Andreas Geiger
2018 — conf
Learning Priors for Semantic 3D Reconstruction.
ECCV (12)
Ian Cherabier, Johannes L. Schönberger, Martin R. Oswald, Marc Pollefeys, Andreas Geiger
2018 — conf
Learning Transformation Invariant Representations with Weak Supervision.
VISIGRAPP (5: VISAPP)
Benjamin Coors, Alexandru Condurache, Alfred Mertins, Andreas Geiger
2018 J jnl
Occupancy Networks: Learning 3D Reconstruction in Function Space.
CoRR
Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger
2018 — conf
On the Integration of Optical Flow and Action Recognition.
GCPR
Laura Sevilla-Lara, Yiyi Liao, Fatma Güney, Varun Jampani, Andreas Geiger, Michael J. Black
2018 J jnl
PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds.
CoRR
Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger
2018 J jnl
Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System.
CoRR
Lionel Heng, Benjamin Choi, Zhaopeng Cui, Marcel Geppert, Sixing Hu, Benson Kuan, Peidong Liu, Rang M. H. Nguyen, Ye Chuan Yeo, Andreas Geiger, Gim Hee Lee, Marc Pollefeys, Torsten Sattler
2018 A* conf
RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials.
CVPR
Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger
2018 J jnl
Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras.
CoRR
Zhaopeng Cui, Lionel Heng, Ye Chuan Yeo, Andreas Geiger, Marc Pollefeys, Torsten Sattler
2018 A* conf
Robust Dense Mapping for Large-Scale Dynamic Environments.
ICRA
Ioan Andrei Barsan, Peidong Liu, Marc Pollefeys, Andreas Geiger
2018 A* conf
Semantic Visual Localization.
CVPR
Johannes L. Schönberger, Marc Pollefeys, Andreas Geiger, Torsten Sattler
2018 — conf
SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images.
ECCV (9)
Benjamin Coors, Alexandru Paul Condurache, Andreas Geiger
2018 J jnl
Taking a Deeper Look at the Inverse Compositional Algorithm.
CoRR
Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger
2018 A conf
Towards Robust Visual Odometry with a Multi-Camera System.
IROS
Peidong Liu, Marcel Geppert, Lionel Heng, Torsten Sattler, Andreas Geiger, Marc Pollefeys
2018 — conf
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions.
ECCV (16)
Joel Janai, Fatma Güney, Anurag Ranjan, Michael J. Black, Andreas Geiger
2018 A* conf
Which Training Methods for GANs do actually Converge?
ICML
Lars M. Mescheder, Andreas Geiger, Sebastian Nowozin
2017 A* conf
A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos.
CVPR
Thomas Schöps, Johannes L. Schönberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, Andreas Geiger
2017 A* conf
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks.
ICML
Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
2017 J jnl
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks.
CoRR
Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
2017 J jnl
Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes.
CoRR
Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother
2017 A conf
Augmented Reality meets Deep Learning.
BMVC
Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars M. Mescheder, Andreas Geiger, Carsten Rother
2017 A* conf
Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?
ICCV
Aseem Behl, Omid Hosseini Jafari, Siva Karthik Mustikovela, Hassan Abu Alhaija, Carsten Rother, Andreas Geiger
2017 J jnl
Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art.
CoRR
Joel Janai, Fatma Güney, Aseem Behl, Andreas Geiger
2017 A conf
Direct visual odometry for a fisheye-stereo camera.
IROS
Peidong Liu, Lionel Heng, Torsten Sattler, Andreas Geiger, Marc Pollefeys
2017 A* conf
OctNet: Learning Deep 3D Representations at High Resolutions.
CVPR
Gernot Riegler, Ali Osman Ulusoy, Andreas Geiger
2017 — conf
OctNetFusion: Learning Depth Fusion from Data.
3DV
Gernot Riegler, Ali Osman Ulusoy, Horst Bischof, Andreas Geiger
2017 J jnl
OctNetFusion: Learning Depth Fusion from Data.
CoRR
Gernot Riegler, Ali Osman Ulusoy, Horst Bischof, Andreas Geiger
2017 J jnl
On the Integration of Optical Flow and Action Recognition.
CoRR
Laura Sevilla-Lara, Yiyi Liao, Fatma Güney, Varun Jampani, Andreas Geiger, Michael J. Black
2017 A conf
Probabilistic and Deep Models for 3D Reconstruction.
BMVC
Andreas Geiger
2017 A* conf
Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels.
CVPR
Ali Osman Ulusoy, Michael J. Black, Andreas Geiger
2017 J jnl
Semantic Visual Localization.
CoRR
Johannes L. Schönberger, Marc Pollefeys, Andreas Geiger, Torsten Sattler
2017 A* conf
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data.
CVPR
Joel Janai, Fatma Güney, Jonas Wulff, Michael J. Black, Andreas Geiger
2017 — conf
Sparsity Invariant CNNs.
3DV
Jonas Uhrig, Nick Schneider, Lukas Schneider, Uwe Franke, Thomas Brox, Andreas Geiger
2017 J jnl
Sparsity Invariant CNNs.
CoRR
Jonas Uhrig, Nick Schneider, Lukas Schneider, Uwe Franke, Thomas Brox, Andreas Geiger
2017 — conf
The Numerics of GANs.
NIPS
Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
2017 J jnl
The Numerics of GANs.
CoRR
Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
2017 A* conf
Toroidal Constraints for Two-Point Localization Under High Outlier Ratios.
CVPR
Federico Camposeco, Torsten Sattler, Andrea Cohen, Andreas Geiger, Marc Pollefeys
2016 — conf
Deep Discrete Flow.
ACCV (4)
Fatma Güney, Andreas Geiger
2016 J jnl
Map-Based Probabilistic Visual Self-Localization.
IEEE Trans. Pattern Anal. Mach. Intell.
Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun
2016 J jnl
OctNet: Learning Deep 3D Representations at High Resolutions.
CoRR
Gernot Riegler, Ali Osman Ulusoy, Andreas Geiger
2016 A* conf
Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction.
CVPR
Ali Osman Ulusoy, Michael J. Black, Andreas Geiger
2016 J jnl
Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring.
CoRR
Lars M. Mescheder, Sebastian Nowozin, Andreas Geiger
2016 A* conf
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer.
CVPR
Jun Xie, Martin Kiefel, Ming-Ting Sun, Andreas Geiger
2015 — conf
Discrete Optimization for Optical Flow.
GCPR
Moritz Menze, Christian Heipke, Andreas Geiger
2015 A* conf
Displets: Resolving stereo ambiguities using object knowledge.
CVPR
Fatma Güney, Andreas Geiger
2015 A* conf
Exploiting Object Similarity in 3D Reconstruction.
ICCV
Chen Zhou, Fatma Güney, Yizhou Wang, Andreas Geiger
2015 A* conf
FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation.
ICCV
Philip Lenz, Andreas Geiger, Raquel Urtasun
2015 — conf
Joint 3D Object and Layout Inference from a Single RGB-D Image.
GCPR
Andreas Geiger, Chaohui Wang
2015 — ch.
Maschinelles Sehen.
Handbuch Fahrerassistenzsysteme
Christoph Stiller, Alexander Bachmann, Andreas Geiger
2015 A* conf
Object scene flow for autonomous vehicles.
CVPR
Moritz Menze, Andreas Geiger
2015 J jnl
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer.
CoRR
Jun Xie, Martin Kiefel, Ming-Ting Sun, Andreas Geiger
2015 — conf
Towards Probabilistic Volumetric Reconstruction Using Ray Potentials.
3DV
Ali Osman Ulusoy, Andreas Geiger, Michael J. Black
2014 J jnl
3D Traffic Scene Understanding From Movable Platforms.
IEEE Trans. Pattern Anal. Mach. Intell.
Andreas Geiger, Martin Lauer, Christian Wojek, Christoph Stiller, Raquel Urtasun
2014 A* conf
Calibrating and centering quasi-central catadioptric cameras.
ICRA
Miriam Schönbein, Tobias Straus, Andreas Geiger
2014 J jnl
FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation.
CoRR
Philip Lenz, Andreas Geiger, Raquel Urtasun
2014 A conf
Omnidirectional 3D reconstruction in augmented Manhattan worlds.
IROS
Miriam Schönbein, Andreas Geiger
2014 A* conf
Simultaneous underwater visibility assessment, enhancement and improved stereo.
ICRA
Martin Roser, Matthew Dunbabin, Andreas Geiger
2013 — conf
A new performance measure and evaluation benchmark for road detection algorithms.
ITSC
Jannik Fritsch, Tobias Kühnl, Andreas Geiger
2013 A* conf
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization.
CVPR
Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun
2013 — —
Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms.
Andreas Geiger
2013 A* conf
Understanding High-Level Semantics by Modeling Traffic Patterns.
ICCV
Hongyi Zhang, Andreas Geiger, Raquel Urtasun
2013 J jnl
Vision meets robotics: The KITTI dataset.
Int. J. Robotics Res.
Andreas Geiger, Philip Lenz, Christoph Stiller, Raquel Urtasun
2012 A* conf
Are we ready for autonomous driving? The KITTI vision benchmark suite.
CVPR
Andreas Geiger, Philip Lenz, Raquel Urtasun
2012 A* conf
Automatic camera and range sensor calibration using a single shot.
ICRA
Andreas Geiger, Frank Moosmann, Omer Car, Bernhard Schuster
2012 B conf
Motion-without-structure: Real-time multipose optimization for accurate visual odometry.
Intelligent Vehicles Symposium
Henning Lategahn, Andreas Geiger, Bernd Kitt, Christoph Stiller
2012 J jnl
Team AnnieWAY's Entry to the 2011 Grand Cooperative Driving Challenge.
IEEE Trans. Intell. Transp. Syst.
Andreas Geiger, Martin Lauer, Frank Moosmann, Benjamin Ranft, Holger H. Rapp, Christoph Stiller, Julius Ziegler
2011 A* conf
A generative model for 3D urban scene understanding from movable platforms.
CVPR
Andreas Geiger, Martin Lauer, Raquel Urtasun
2011 — conf
Joint 3D Estimation of Objects and Scene Layout.
NIPS
Andreas Geiger, Christian Wojek, Raquel Urtasun
2011 B conf
Sparse scene flow segmentation for moving object detection in urban environments.
Intelligent Vehicles Symposium
Philip Lenz, Julius Ziegler, Andreas Geiger, Martin Roser
2011 B conf
StereoScan: Dense 3d reconstruction in real-time.
Intelligent Vehicles Symposium
Andreas Geiger, Julius Ziegler, Christoph Stiller
2011 A* conf
Visual SLAM for autonomous ground vehicles.
ICRA
Henning Lategahn, Andreas Geiger, Bernd Kitt
2010 — conf
Efficient Large-Scale Stereo Matching.
ACCV (1)
Andreas Geiger, Martin Roser, Raquel Urtasun
2010 B conf
Object flow: A descriptor for classifying traffic motion.
Intelligent Vehicles Symposium
Andreas Geiger, Bernd Kitt
2010 — conf
Realistic Modeling of Water Droplets for Monocular Adherent Raindrop Recognition Using Bézier Curves.
ACCV Workshops (2)
Martin Roser, Julian Kurz, Andreas Geiger
2010 B conf
Visual odometry based on stereo image sequences with RANSAC-based outlier rejection scheme.
Intelligent Vehicles Symposium
Bernd Kitt, Andreas Geiger, Henning Lategahn
2009 A* conf
Rank priors for continuous non-linear dimensionality reduction.
CVPR
Andreas Geiger, Raquel Urtasun, Trevor Darrell
2009 — conf
Video-based raindrop detection for improved image registration.
ICCV Workshops
Martin Roser, Andreas Geiger
2008 A* conf
Topologically-constrained latent variable models.
ICML
Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell, Neil D. Lawrence
2006 A* conf
An all-in-one solution to geometric and photometric calibration.
ISMAR
Julien Pilet, Andreas Geiger, Pascal Lagger, Vincent Lepetit, Pascal Fua