| Inferring super-resolution depth from a moving light-source enhanced RGB-D sensor: a variational approach L Sang, B Haefner, D Cremers Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 11 | 2020 |
| Gradient-sdf: A semi-implicit surface representation for 3d reconstruction C Sommer, L Sang, D Schubert, D Cremers Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 10 | 2022 |
| High-quality rgb-d reconstruction via multi-view uncalibrated photometric stereo and gradient-sdf L Sang, B Häfner, X Zuo, D Cremers Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 5 | 2023 |
| Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry J Yang, L Sang, D Cremers arXiv preprint arXiv:2109.01461, 2021 | 3 | 2021 |
| Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis MS Deka, L Sang, D Cremers arXiv preprint arXiv:2311.17634, 2023 | 1 | 2023 |
| Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography D Komorowicz, L Sang, F Maiwald, D Cremers arXiv preprint arXiv:2311.17810, 2023 | | 2023 |
| Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis M Shyam Deka, L Sang, D Cremers arXiv e-prints, arXiv: 2311.17634, 2023 | | 2023 |
| Weight-Aware Implicit Geometry Reconstruction with Curvature-Guided Sampling L Sang, A Saroha, M Gao, D Cremers arXiv preprint arXiv:2306.02099, 2023 | | 2023 |
| NeuroSURF: Neural Uncertainty-aware Robust Surface Reconstruction L Sang, A Saroha, M Gao, D Cremers | | |
| Recent Advances in the Analysis of 3D Shapes TUMAIL Series, D Cremers, V Golkov, N Araslanov, H Li, S Wagner, ... | | |
| High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF—Supplementary Material L Sang, B Häfner, X Zuo, D Cremers | | |
| Recent Advances in the Analysis of 3D Shapes D Cremers, E Rodolà, M Vestner, T Windheuser | | |
