| Occupancy networks: Learning 3d reconstruction in function space L Mescheder, M Oechsle, M Niemeyer, S Nowozin, A Geiger Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 140 | 2019 |
| Texture fields: Learning texture representations in function space M Oechsle, L Mescheder, M Niemeyer, T Strauss, A Geiger Proceedings of the IEEE International Conference on Computer Vision, 4531-4540, 2019 | 13 | 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 | 11 | 2020 |
| Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics M Niemeyer, L Mescheder, M Oechsle, A Geiger Proceedings of the IEEE International Conference on Computer Vision, 5379-5389, 2019 | 7 | 2019 |
| Automatic Semantic Labelling of Images by Their Content Using Non-Parametric Bayesian Machine Learning and Image Search Using Synthetically Generated Image Collages M Niemeyer, O Arandjelović 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 5 | 2018 |
| Convolutional Occupancy Networks S Peng, M Niemeyer, L Mescheder, M Pollefeys, A Geiger arXiv preprint arXiv:2003.04618, 2020 | 2 | 2020 |
| Learning Implicit Surface Light Fields M Oechsle, M Niemeyer, L Mescheder, T Strauss, A Geiger arXiv preprint arXiv:2003.12406, 2020 | 1 | 2020 |
| 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 | | |
Lars MeschederMax Planck Institute for Intelligent System, TübingenVerified email at tue.mpg.de
