| 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 | 3173 | 2019 |
| Convolutional occupancy networks S Peng, M Niemeyer, L Mescheder, M Pollefeys, A Geiger Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 1099 | 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 | 1034 | 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 | 1027 | 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 | 906 | 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 | 615 | 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 | 456 | 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 | 355 | 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 | 309 | 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 | 228 | 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 | 197 | 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 | 147 | 2022 |
| Textmesh: Generation of realistic 3d meshes from text prompts C Tsalicoglou, F Manhardt, A Tonioni, M Niemeyer, F Tombari 2024 International Conference on 3D Vision (3DV), 1554-1563, 2024 | 104 | 2024 |
| Campari: Camera-aware decomposed generative neural radiance fields M Niemeyer, A Geiger 2021 International Conference on 3D Vision (3DV), 951-961, 2021 | 72 | 2021 |
| 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 | 49 | 2024 |
| 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 | 44 | 2020 |
| Radsplat: Radiance field-informed gaussian splatting for robust real-time rendering with 900+ fps M Niemeyer, F Manhardt, MJ Rakotosaona, M Oechsle, D Duckworth, ... arXiv preprint arXiv:2403.13806, 2024 | 26 | 2024 |
| 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 | 25* | 2024 |
| Newton: Neural view-centric mapping for on-the-fly large-scale slam H Matsuki, K Tateno, M Niemeyer, F Tombari IEEE Robotics and Automation Letters, 2024 | 19 | 2024 |
| Recent Trends in 3D Reconstruction of General Non-Rigid Scenes R Yunus, JE Lenssen, M Niemeyer, Y Liao, C Rupprecht, C Theobalt, ... Computer Graphics Forum 43, 2024 | 18 | 2024 |
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterEmail verificata su uni-tuebingen.de