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 | 9 | 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 | 3 | 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 | | 2023 |
Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry J Yang, L Sang, D Cremers arXiv preprint arXiv:2109.01461, 2021 | | 2021 |
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 | | |