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Lu Sang
Lu Sang
在 tum.de 的电子邮件经过验证 - 首页
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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
142022
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
122020
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
72023
Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry
J Yang, L Sang, D Cremers
arXiv preprint arXiv:2109.01461, 2021
42021
DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting
L Härenstam-Nielsen, L Sang, A Saroha, N Araslanov, D Cremers
arXiv preprint arXiv:2407.17058, 2024
2024
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
Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations
L Sang, M Gao, A Saroha, D Cremers
ECCV 2024 Workshop on Wild 3D: 3D Modeling, Reconstruction, and Generation …, 2023
2023
Coloring the Past: Neural Historical Monuments Reconstruction from Archival Photography
D Komorowicz, L Sang, F Maiwald, D Cremers
ECCV 2024 Workshop on Wild 3D: 3D Modeling, Reconstruction, and Generation …, 0
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