Eddy Ilg

68 papers A* 15A 2Journal 41Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hoi3DGen: Generating High-Quality Human-Object-Interactions in 3D.
CoRR
Agniv Sharma, Xianghui Xie, Tom Fischer, Eddy Ilg, Gerard Pons-Moll
2025 J jnl
3DFroMLLM: 3D Prototype Generation only from Pretrained Multimodal LLMs.
CoRR
Noor Ahmed, Cameron Braunstein, Steffen Eger, Eddy Ilg
2025 J jnl
CLIP is All You Need for Human-like Semantic Representations in Stable Diffusion.
CoRR
Cameron Braunstein, Mariya Toneva, Eddy Ilg
2025 — conf
E-3DGS: Event-Based Novel View Rendering of Large-Scale Scenes Using 3D Gaussian Splatting.
3DV
Sohaib Zahid, Viktor Rudnev, Eddy Ilg, Vladislav Golyanik
2025 J jnl
E-3DGS: Event-Based Novel View Rendering of Large-Scale Scenes Using 3D Gaussian Splatting.
CoRR
Sohaib Zahid, Viktor Rudnev, Eddy Ilg, Vladislav Golyanik
2025 A* conf
EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory.
CVPR
Jonas Kälble, Sascha Wirges, Maxim Tatarchenko, Eddy Ilg
2025 J jnl
Imaging for All-Day Wearable Smart Glasses.
CoRR
Michael Goesele, Daniel Andersen, Yujia Chen, Simon Green, Eddy Ilg, Chao Li, Johnson Liu, Grace Kuo, Logan Wan, Richard A. Newcombe
2025 — conf
Spurfies: Sparse-View Surface Reconstruction Using Local Geometry Priors.
3DV
Kevin Raj, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen
2025 J jnl
TikZero: Zero-Shot Text-Guided Graphics Program Synthesis.
CoRR
Jonas Belouadi, Eddy Ilg, Margret Keuper, Hideki Tanaka, Masao Utiyama, Raj Dabre, Steffen Eger, Simone Paolo Ponzetto
2025 J jnl
Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes.
CoRR
Tom Fischer, Xiaojie Zhang, Eddy Ilg
2024 A* conf
Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory.
CVPR
Jonas Kälble, Sascha Wirges, Maxim Tatarchenko, Eddy Ilg
2024 J jnl
Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory.
CoRR
Jonas Kälble, Sascha Wirges, Maxim Tatarchenko, Eddy Ilg
2024 — conf
LatentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction.
ECCV (87)
Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
2024 A* conf
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction.
CVPR
Devikalyan Das, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen
2024 A* conf
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation.
CVPR
Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox
2024 A* conf
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields.
ICML
Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg
2024 J jnl
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields.
CoRR
Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg
2024 — conf
Quantum-Hybrid Stereo Matching With Nonlinear Regularization and Spatial Pyramids.
3DV
Cameron Braunstein, Eddy Ilg, Vladislav Golyanik
2024 J jnl
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes.
Comput. Graph. Forum
Raza Yunus, Jan Eric Lenssen, Michael Niemeyer, Yiyi Liao, Christian Rupprecht, Christian Theobalt, Gerard Pons-Moll, Jia-Bin Huang, Vladislav Golyanik, Eddy Ilg
2024 J jnl
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes.
CoRR
Raza Yunus, Jan Eric Lenssen, Michael Niemeyer, Yiyi Liao, Christian Rupprecht, Christian Theobalt, Gerard Pons-Moll, Jia-Bin Huang, Vladislav Golyanik, Eddy Ilg
2024 J jnl
SLayR: Scene Layout Generation with Rectified Flow.
CoRR
Cameron Braunstein, Hevra Petekkaya, Jan Eric Lenssen, Mariya Toneva, Eddy Ilg
2024 J jnl
Spurfies: Sparse Surface Reconstruction using Local Geometry Priors.
CoRR
Kevin Raj, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen
2024 A* conf
Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos.
CVPR
Leonhard Sommer, Artur Jesslen, Eddy Ilg, Adam Kortylewski
2024 J jnl
Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos.
CoRR
Leonhard Sommer, Artur Jesslen, Eddy Ilg, Adam Kortylewski
2024 — conf
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning.
ECCV (77)
Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg
2024 J jnl
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning.
CoRR
Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg
2024 J jnl
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction.
CoRR
Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
2023 J jnl
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction.
CoRR
Devikalyan Das, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen
2023 J jnl
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation.
CoRR
Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox
2023 J jnl
Quantum-Hybrid Stereo Matching With Nonlinear Regularization and Spatial Pyramids.
CoRR
Cameron Braunstein, Eddy Ilg, Vladislav Golyanik
2023 A* conf
SimNP: Learning Self-Similarity Priors Between Neural Points.
ICCV
Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
2023 J jnl
SimNP: Learning Self-Similarity Priors Between Neural Points.
CoRR
Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
2022 J jnl
ERF: Explicit Radiance Field Reconstruction From Scratch.
CoRR
Samir Aroudj, Steven Lovegrove, Eddy Ilg, Tanner Schmidt, Michael Goesele, Richard A. Newcombe
2022 A* conf
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning.
CVPR
Tony Ng, Hyo Jin Kim, Vincent T. Lee, Daniel DeTone, Tsun-Yi Yang, Tianwei Shen, Eddy Ilg, Vassileios Balntas, Krystian Mikolajczyk, Chris Sweeney
2022 A* conf
Recurrent Video Restoration Transformer with Guided Deformable Attention.
NeurIPS
Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool
2022 J jnl
Recurrent Video Restoration Transformer with Guided Deformable Attention.
CoRR
Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool
2021 J jnl
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors.
CoRR
Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim, Tianwei Shen, Meghan Cowan, Rajvi Shah, Caroline Trippel, Brandon Reagen, Timothy Sherwood, Vasileios Balntas, Armin Alaghi, Eddy Ilg
2021 A conf
Mitigating Reverse Engineering Attacks on Local Feature Descriptors.
BMVC
Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim, Tianwei Shen, Meghan Cowan, Rajvi Shah, Caroline Trippel, Brandon Reagen, Timothy Sherwood, Vasileios Balntas, Armin Alaghi, Eddy Ilg
2021 J jnl
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning.
CoRR
Tony Ng, Hyo Jin Kim, Vincent T. Lee, Daniel DeTone, Tsun-Yi Yang, Tianwei Shen, Eddy Ilg, Vassileios Balntas, Krystian Mikolajczyk, Chris Sweeney
2020 — conf
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction.
ECCV (29)
Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe
2020 J jnl
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction.
CoRR
Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe
2020 J jnl
Domain Adaptation of Learned Features for Visual Localization.
CoRR
Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Chris Sweeney
2020 A conf
Domain Adaptation of Learned Featuresfor Visual Localization.
BMVC
Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Christopher Sweeney
2020 J jnl
TLIO: Tight Learned Inertial Odometry.
CoRR
Wenxin Liu, David Caruso, Eddy Ilg, Jing Dong, Anastasios I. Mourikis, Kostas Daniilidis, Vijay Kumar, Jakob J. Engel
2020 J jnl
TLIO: Tight Learned Inertial Odometry.
IEEE Robotics Autom. Lett.
Wenxin Liu, David Caruso, Eddy Ilg, Jing Dong, Anastasios I. Mourikis, Kostas Daniilidis, Vijay Kumar, Jakob J. Engel
2019 — —
Estimating optical flow with convolutional neural networks.
Eddy Ilg
2019 J jnl
Lucid Data Dreaming for Video Object Segmentation.
Int. J. Comput. Vis.
Anna Khoreva, Rodrigo Benenson, Eddy Ilg, Thomas Brox, Bernt Schiele
2019 A* conf
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction.
CVPR
Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox
2019 J jnl
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction.
CoRR
Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox
2018 J jnl
FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images.
CoRR
Osama Makansi, Eddy Ilg, Thomas Brox
2018 — conf
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation.
ECCV (12)
Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox
2018 J jnl
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation.
CoRR
Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox
2018 — conf
Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow.
ECCV (7)
Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox
2018 J jnl
Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks.
CoRR
Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox
2018 J jnl
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
CoRR
Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2018 J jnl
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
Int. J. Comput. Vis.
Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2017 A* conf
DeMoN: Depth and Motion Network for Learning Monocular Stereo.
CVPR
Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
2017 — conf
End-to-End Learning of Video Super-Resolution with Motion Compensation.
GCPR
Osama Makansi, Eddy Ilg, Thomas Brox
2017 J jnl
End-to-End Learning of Video Super-Resolution with Motion Compensation.
CoRR
Osama Makansi, Eddy Ilg, Thomas Brox
2017 A* conf
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.
CVPR
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
2017 J jnl
Lucid Data Dreaming for Object Tracking.
CoRR
Anna Khoreva, Rodrigo Benenson, Eddy Ilg, Thomas Brox, Bernt Schiele
2016 A* conf
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation.
CVPR
Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2016 J jnl
DeMoN: Depth and Motion Network for Learning Monocular Stereo.
CoRR
Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
2016 J jnl
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.
CoRR
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
2015 J jnl
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation.
CoRR
Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2015 A* conf
FlowNet: Learning Optical Flow with Convolutional Networks.
ICCV
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2015 J jnl
FlowNet: Learning Optical Flow with Convolutional Networks.
CoRR
Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2014 A* conf
Reconstruction of rigid body models from motion distorted laser range data using optical flow.
ICRA
Eddy Ilg, Rainer Kümmerle, Wolfram Burgard, Thomas Brox