| Occupancy networks: Learning 3d reconstruction in function space L Mescheder, M Oechsle, M Niemeyer, S Nowozin, A Geiger Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 3812 | 2019 |
| Convolutional occupancy networks S Peng, M Niemeyer, L Mescheder, M Pollefeys, A Geiger European Conference on Computer Vision, 523-540, 2020 | 1298 | 2020 |
| Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision M Niemeyer, L Mescheder, M Oechsle, A Geiger Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 1177 | 2020 |
| Giraffe: Representing scenes as compositional generative neural feature fields M Niemeyer, A Geiger Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 1160 | 2021 |
| Graf: Generative radiance fields for 3d-aware image synthesis K Schwarz, Y Liao, M Niemeyer, A Geiger Advances in neural information processing systems 33, 20154-20166, 2020 | 1028 | 2020 |
| Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs M Niemeyer, JT Barron, B Mildenhall, MSM Sajjadi, A Geiger, N Radwan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 854 | 2022 |
| Monosdf: Exploring monocular geometric cues for neural implicit surface reconstruction Z Yu, S Peng, M Niemeyer, T Sattler, A Geiger Advances in neural information processing systems 35, 25018-25032, 2022 | 641 | 2022 |
| Texture fields: Learning texture representations in function space M Oechsle, L Mescheder, M Niemeyer, T Strauss, A Geiger Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 405 | 2019 |
| Occupancy flow: 4d reconstruction by learning particle dynamics M Niemeyer, L Mescheder, M Oechsle, A Geiger Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 332 | 2019 |
| Shape as points: A differentiable poisson solver S Peng, C Jiang, Y Liao, M Niemeyer, M Pollefeys, A Geiger Advances in Neural Information Processing Systems 34, 13032-13044, 2021 | 310 | 2021 |
| Dreambooth3d: Subject-driven text-to-3d generation A Raj, S Kaza, B Poole, M Niemeyer, N Ruiz, B Mildenhall, S Zada, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 272 | 2023 |
| Voxgraf: Fast 3d-aware image synthesis with sparse voxel grids K Schwarz, A Sauer, M Niemeyer, Y Liao, A Geiger Advances in Neural Information Processing Systems 35, 33999-34011, 2022 | 182 | 2022 |
| Textmesh: Generation of realistic 3d meshes from text prompts C Tsalicoglou, F Manhardt, A Tonioni, M Niemeyer, F Tombari arXiv preprint arXiv:2304.12439, 2023 | 153 | 2023 |
| Radsplat: Radiance field-informed gaussian splatting for robust real-time rendering with 900+ fps M Niemeyer, F Manhardt, MJ Rakotosaona, M Oechsle, D Duckworth, ... 2025 International Conference on 3D Vision (3DV), 134-144, 2025 | 98 | 2025 |
| Nerfmeshing: Distilling neural radiance fields into geometrically-accurate 3d meshes MJ Rakotosaona, F Manhardt, DM Arroyo, M Niemeyer, A Kundu, ... 2024 international conference on 3D vision (3DV), 1156-1165, 2024 | 85 | 2024 |
| Campari: Camera-aware decomposed generative neural radiance fields M Niemeyer, A Geiger 2021 International Conference on 3D Vision (3DV), 951-961, 2021 | 73 | 2021 |
| OpenNeRF: open set 3D neural scene segmentation with pixel-wise features and rendered novel views F Engelmann, F Manhardt, M Niemeyer, K Tateno, M Pollefeys, F Tombari arXiv preprint arXiv:2404.03650, 2024 | 65 | 2024 |
| Sdfstudio: A unified framework for surface reconstruction Z Yu, A Chen, B Antic, S Peng, A Bhattacharyya, M Niemeyer, S Tang, ... Tech. Rep., 2022 | 63 | 2022 |
| Splat-slam: Globally optimized rgb-only slam with 3d gaussians E Sandström, G Zhang, K Tateno, M Oechsle, M Niemeyer, Y Zhang, ... Proceedings of the Computer Vision and Pattern Recognition Conference, 1680-1691, 2025 | 61 | 2025 |
| Learning implicit surface light fields M Oechsle, M Niemeyer, C Reiser, L Mescheder, T Strauss, A Geiger 2020 International Conference on 3D Vision (3DV), 452-462, 2020 | 47 | 2020 |
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterVerified email at uni-tuebingen.de
