Michael Niemeyer

64 papers A* 13A 1B 1Journal 40Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management. IEEE Robotics Autom. Lett. Casimir Feldmann, Maximum Wilder-Smith, Vaishakh Patil, Michael Oechsle, Michael Niemeyer, Keisuke Tateno, Marco Hutter
2025	J	`jnl`	3D-LATTE: Latent Space 3D Editing from Textual Instructions. CoRR Maria Parelli, Michael Oechsle, Michael Niemeyer, Federico Tombari, Andreas Geiger
2025	J	`jnl`	CausNVS: Autoregressive Multi-view Diffusion for Flexible 3D Novel View Synthesis. CoRR Xin Kong, Daniel Watson, Yannick Strümpler, Michael Niemeyer, Federico Tombari
2025	J	`jnl`	DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management. CoRR Casimir Feldmann, Maximum Wilder-Smith, Vaishakh Patil, Michael Oechsle, Michael Niemeyer, Keisuke Tateno, Marco Hutter
2025	J	`jnl`	GALA: Guided Attention with Language Alignment for Open Vocabulary Gaussian Splatting. CoRR Elena Alegret, Kunyi Li, Sen Wang, Siyun Liang, Michael Niemeyer, Stefano Gasperini, Nassir Navab, Federico Tombari
2025	—	`conf`	Gaussians-to-Life: Text-Driven Animation of 3D Gaussian Splatting Scenes. 3DV Thomas Wimmer, Michael Oechsle, Michael Niemeyer, Federico Tombari
2025	J	`jnl`	LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering. CoRR Jonas Kulhanek, Marie-Julie Rakotosaona, Fabian Manhardt, Christina Tsalicoglou, Michael Niemeyer, Torsten Sattler, Songyou Peng, Federico Tombari
2025	J	`jnl`	Learning Neural Exposure Fields for View Synthesis. CoRR Michael Niemeyer, Fabian Manhardt, Marie-Julie Rakotosaona, Michael Oechsle, Christina Tsalicoglou, Keisuke Tateno, Jonathan T. Barron, Federico Tombari
2025	J	`jnl`	Masks make discriminative models great again! CoRR Tianshi Cao, Marie-Julie Rakotosaona, Ben Poole, Federico Tombari, Michael Niemeyer
2025	J	`jnl`	OracleGS: Grounding Generative Priors for Sparse-View Gaussian Splatting. CoRR Atakan Topaloglu, Kunyi Li, Michael Niemeyer, Nassir Navab, A. Murat Tekalp, Federico Tombari
2025	—	`conf`	RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real- Time Rendering with 900+ FPS. 3DV Michael Niemeyer, Fabian Manhardt, Marie-Julie Rakotosaona, Michael Oechsle, Daniel Duckworth, Rama Gosula, Keisuke Tateno, John Bates, Dominik Kaeser, Federico Tombari
2025	J	`jnl`	SING3R-SLAM: Submap-based Indoor Monocular Gaussian SLAM with 3D Reconstruction Priors. CoRR Kunyi Li, Michael Niemeyer, Sen Wang, Stefano Gasperini, Nassir Navab, Federico Tombari
2025	—	`conf`	Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians. CVPR Workshops Erik Sandström, Ganlin Zhang, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Youmin Zhang, Manthan Patel, Luc Van Gool, Martin R. Oswald, Federico Tombari
2025	J	`jnl`	SplatVoxel: History-Aware Novel View Streaming without Temporal Training. CoRR Yiming Wang, Lucy Chai, Xuan Luo, Michael Niemeyer, Manuel Lagunas, Stephen Lombardi, Siyu Tang, Tiancheng Sun
2024	A	`conf`	DNS-SLAM: Dense Neural Semantic-Informed SLAM. IROS Kunyi Li, Michael Niemeyer, Nassir Navab, Federico Tombari
2024	J	`jnl`	Evolutive Rendering Models. CoRR Fangneng Zhan, Hanxue Liang, Yifan Wang, Michael Niemeyer, Michael Oechsle, Adam Kortylewski, Cengiz Öztireli, Gordon Wetzstein, Christian Theobalt
2024	J	`jnl`	G2SDF: Surface Reconstruction from Explicit Gaussians with Implicit SDFs. CoRR Kunyi Li, Michael Niemeyer, Zeyu Chen, Nassir Navab, Federico Tombari
2024	J	`jnl`	Gaussians-to-Life: Text-Driven Animation of 3D Gaussian Splatting Scenes. CoRR Thomas Wimmer, Michael Oechsle, Michael Niemeyer, Federico Tombari
2024	J	`jnl`	InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes. CoRR Mohamad Shahbazi, Liesbeth Claessens, Michael Niemeyer, Edo Collins, Alessio Tonioni, Luc Van Gool, Federico Tombari
2024	J	`jnl`	NEWTON: Neural View-Centric Mapping for On-the-Fly Large-Scale SLAM. IEEE Robotics Autom. Lett. Hidenobu Matsuki, Keisuke Tateno, Michael Niemeyer, Federico Tombari
2024	—	`conf`	NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes. 3DV Marie-Julie Rakotosaona, Fabian Manhardt, Diego Martín Arroyo, Michael Niemeyer, Abhijit Kundu, Federico Tombari
2024	A*	`conf`	OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views. ICLR Francis Engelmann, Fabian Manhardt, Michael Niemeyer, Keisuke Tateno, Federico Tombari
2024	J	`jnl`	OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views. CoRR Francis Engelmann, Fabian Manhardt, Michael Niemeyer, Keisuke Tateno, Marc Pollefeys, Federico Tombari
2024	J	`jnl`	RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS. CoRR Michael Niemeyer, Fabian Manhardt, Marie-Julie Rakotosaona, Michael Oechsle, Daniel Duckworth, Rama Gosula, Keisuke Tateno, John Bates, Dominik Kaeser, Federico Tombari
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`	Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians. CoRR Erik Sandström, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Luc Van Gool, Martin R. Oswald, Federico Tombari
2024	J	`jnl`	SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians. CoRR Siyun Liang, Sen Wang, Kunyi Li, Michael Niemeyer, Stefano Gasperini, Nassir Navab, Federico Tombari
2024	—	`conf`	TextMesh: Generation of Realistic 3D Meshes From Text Prompts. 3DV Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, Federico Tombari
2024	A*	`conf`	UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections. NeurIPS Fangjinhua Wang, Marie-Julie Rakotosaona, Michael Niemeyer, Richard Szeliski, Marc Pollefeys, Federico Tombari
2023	J	`jnl`	DNS SLAM: Dense Neural Semantic-Informed SLAM. CoRR Kunyi Li, Michael Niemeyer, Nassir Navab, Federico Tombari
2023	A*	`conf`	DreamBooth3D: Subject-Driven Text-to-3D Generation. ICCV Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani
2023	J	`jnl`	DreamBooth3D: Subject-Driven Text-to-3D Generation. CoRR Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani
2023	J	`jnl`	NEWTON: Neural View-Centric Mapping for On-the-Fly Large-Scale SLAM. CoRR Hidenobu Matsuki, Keisuke Tateno, Michael Niemeyer, Federico Tombari
2023	J	`jnl`	NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes. CoRR Marie-Julie Rakotosaona, Fabian Manhardt, Diego Martín Arroyo, Michael Niemeyer, Abhijit Kundu, Federico Tombari
2023	—	`—`	Neural Scene Representations for 3D Reconstruction and Generative Modeling Michael Niemeyer
2023	J	`jnl`	TextMesh: Generation of Realistic 3D Meshes From Text Prompts. CoRR Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, Federico Tombari
2023	J	`jnl`	UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections. CoRR Fangjinhua Wang, Marie-Julie Rakotosaona, Michael Niemeyer, Richard Szeliski, Marc Pollefeys, Federico Tombari
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	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	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
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	A*	`conf`	GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields. CVPR Michael Niemeyer, 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`	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
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	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	—	`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
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`	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`	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
2018	B	`conf`	Automatic Semantic Labelling of Images by Their Content Using Non-Parametric Bayesian Machine Learning and Image Search Using Synthetically Generated Image Collages. DSAA Michael Niemeyer, Ognjen Arandjelovic
2018	J	`jnl`	Occupancy Networks: Learning 3D Reconstruction in Function Space. CoRR Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger