Lu Sang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Uncalibrated Photometric Stereo

Surface Representation

Top Venues

Publications

Linus Härenstam-Nielsen, Lu Sang, Abhishek Saroha, Nikita Araslanov, Daniel Cremers
DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting. CoRR (2024)
Lu Sang, Abhishek Saroha, Maolin Gao, Daniel Cremers
Weight-Aware Implicit Geometry Reconstruction with Curvature-Guided Sampling. CoRR (2023)
Mreenav Shyam Deka, Lu Sang, Daniel Cremers
Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis. CoRR (2023)
Dávid Komorowicz, Lu Sang, Ferdinand Maiwald, Daniel Cremers
Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography. CoRR (2023)
Lu Sang, Bjoern Haefner, Xingxing Zuo, Daniel Cremers
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF. WACV (2023)
Lu Sang, Bjoern Haefner, Xingxing Zuo, Daniel Cremers
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF. CoRR (2022)
Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers
Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction. CVPR (2022)
Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers
Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction. CoRR (2021)
Ji Yang, Lu Sang, Daniel Cremers
Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry. CoRR (2021)
Lu Sang, Bjoern Haefner, Daniel Cremers
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach. WACV (2020)
Lu Sang, Bjoern Haefner, Daniel Cremers
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach. CoRR (2019)