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Lu Sang
Lu Sang
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Zitiert von
Zitiert von
Jahr
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
92020
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
32022
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
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