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ORCIDLu Sang
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2020 – today
- 2025
[c8]Lu Sang, Zehranaz Canfes, Dongliang Cao, Florian Bernard, Daniel Cremers:
Implicit Neural Surface Deformation with Explicit Velocity Fields. ICLR 2025- [i12]Lu Sang, Zehranaz Canfes, Dongliang Cao, Florian Bernard, Daniel Cremers:
Implicit Neural Surface Deformation with Explicit Velocity Fields. CoRR abs/2501.14038 (2025) - [i11]Lu Sang, Zehranaz Canfes, Dongliang Cao, Riccardo Marin, Florian Bernard, Daniel Cremers:
4Deform: Neural Surface Deformation for Robust Shape Interpolation. CoRR abs/2502.20208 (2025) - [i10]Lei Cheng, Mahdi Saleh, Qing Cheng, Lu Sang, Hongli Xu, Daniel Cremers, Federico Tombari:
PRISM: Probabilistic Representation for Integrated Shape Modeling and Generation. CoRR abs/2504.04454 (2025) - 2024
- [c7]Linus Härenstam-Nielsen
, Lu Sang, Abhishek Saroha, Nikita Araslanov, Daniel Cremers:
DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting. ECCV (73) 2024: 432-447 - [i9]Linus Härenstam-Nielsen, Lu Sang, Abhishek Saroha, Nikita Araslanov, Daniel Cremers:
DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting. CoRR abs/2407.17058 (2024) - [i8]Viktoria Ehm, Nafie El Amrani, Yizheng Xie, Lennart Bastian, Maolin Gao, Weikang Wang, Lu Sang, Dongliang Cao, Zorah Lähner, Daniel Cremers, Florian Bernard:
Beyond Complete Shapes: A Quantitative Evaluation of 3D Shape Matching Algorithms. CoRR abs/2411.03511 (2024) - 2023
- [c6]Lu Sang, Bjoern Haefner, Xingxing Zuo, Daniel Cremers:
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF. WACV 2023: 3105-3114 - [i7]Lu Sang, Abhishek Saroha, Maolin Gao, Daniel Cremers:
Weight-Aware Implicit Geometry Reconstruction with Curvature-Guided Sampling. CoRR abs/2306.02099 (2023) - [i6]Mreenav Shyam Deka, Lu Sang, Daniel Cremers:
Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis. CoRR abs/2311.17634 (2023) - [i5]Dávid Komorowicz, Lu Sang, Ferdinand Maiwald, Daniel Cremers:
Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography. CoRR abs/2311.17810 (2023) - 2022
- [c5]Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers:
Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction. CVPR 2022: 6270-6279 - [c4]Dávid Komorowicz, Lu Sang, Ferdinand Maiwald, Daniel Cremers:
Coloring the Past: Neural Historical Monuments Reconstruction from Archival Photography. GCPR (2) 2022: 55-71 - [c3]Mreenav Shyam Deka, Lu Sang, Daniel Cremers:
Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis. GCPR (2) 2022: 202-217 - [c2]Lu Sang, Abhishek Saroha, Maolin Gao, Daniel Cremers:
Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations. GCPR (1) 2022: 312-328 - [i4]Lu Sang, Bjoern Haefner, Xingxing Zuo, Daniel Cremers:
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF. CoRR abs/2210.12202 (2022) - 2021
- [i3]Ji Yang, Lu Sang, Daniel Cremers:
Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry. CoRR abs/2109.01461 (2021) - [i2]Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers:
Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction. CoRR abs/2111.13652 (2021) - 2020
- [c1]Lu Sang, Bjoern Haefner, Daniel Cremers:
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach. WACV 2020: 1-10
2010 – 2019
- 2019
- [i1]Lu Sang, Bjoern Haefner, Daniel Cremers:
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach. CoRR abs/1912.06501 (2019)
Coauthor Index
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