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2020 – today
- 2024
[i8]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)- 2023
- [c3]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
- [c2]Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers:
Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction. CVPR 2022: 6270-6279 - [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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