| 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 | 3172 | 2019 |
| 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 | 1035 | 2020 |
| Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction M Oechsle, S Peng, A Geiger Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 822 | 2021 |
| 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 |
| 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 |
| Driven Brownian particle as a paradigm for a nonequilibrium heat bath: Effective temperature and cyclic work extraction R Wulfert, M Oechsle, T Speck, U Seifert Physical Review E 95 (5), 050103, 2017 | 21 | 2017 |
| Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians E Sandström, K Tateno, M Oechsle, M Niemeyer, L Van Gool, MR Oswald, ... arXiv preprint arXiv:2405.16544, 2024 | 15 | 2024 |
| Differentiable Optimization for Orchestration: Resource Offloading for Vehicles in Smart Cities T Strauss, M Oechsle, U Bauknecht IEEE Access, 2024 | 2 | 2024 |
| CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation N Kalischek, M Oechsle, F Manhardt, P Henzler, K Schindler, F Tombari arXiv preprint arXiv:2501.17162, 2025 | | 2025 |
| Gaussians-to-Life: Text-Driven Animation of 3D Gaussian Splatting Scenes T Wimmer, M Oechsle, M Niemeyer, F Tombari arXiv preprint arXiv:2411.19233, 2024 | | 2024 |
| Synthetic generation of radar and LIDAR point clouds A Junginger, M Lober, MJ Oechsle, T Strauss US Patent 12,092,731, 2024 | | 2024 |
| Evolutive Rendering Models F Zhan, H Liang, Y Wang, M Niemeyer, M Oechsle, A Kortylewski, ... arXiv preprint arXiv:2405.17531, 2024 | | 2024 |
| Augmentation and processing of radar data with machine learning A Junginger, MJ Oechsle, T Strauss US Patent 11,899,131, 2024 | | 2024 |
| Supplementary Material for Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics M Niemeyer, L Mescheder, M Oechsle, A Geiger | | |
| Supplementary Material for Occupancy Networks: Learning 3D Reconstruction in Function Space L Mescheder, M Oechsle, M Niemeyer, S Nowozin, A Geiger | | |
| Supplementary Material for Texture Fields: Learning Texture Representations in Function Space M Oechsle, L Mescheder, M Niemeyer, T Strauss, A Geiger | | |
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