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Lu Sang
PhD StudentTechnical University of MunichSchool of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany
Tel: +49-89-289-17782
Fax: +49-89-289-17757
Office: 02.09.055
Mail: lu.sang@in.tum.de
Brief Bio
I received my M.Sc. in Mathematics from the Technical University of Munich, and after that, I became a Ph.D. student in the Computer Vision Group, headed by Prof. Dr. Daniel Cremers at TUM.
My research interest is 3D reconstruction, photometric stereo, point cloud reconstruction, and geometry representation method.
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Master Thesis / IDP / Guided Research
update 11.2023 Unfortunately all my thesis projects are occupied.
I offer the Master Thesis project on 3D reconstruction/camera tracking and mapping. If you are interested and fulfill the following requirements, please get in touch with me with your transcript.
- Good background in math;
- Practical Python or c++ programming skill;
- Have Attended at least one related CV course or seminar.
Publications
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Conference and Workshop Papers
2025
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4Deform: Neural Surface Deformation for Robust Shape Interpolation , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. ([project page] [paper])
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Implicit Neural Surface Deformation with Explicit Velocity Fields , In International Conference on Learning Representations (ICLR), 2025. ([code] [paper])
2024
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DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting , In European Conference on Computer Vision (ECCV), 2024.
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Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography , In German Conference on Pattern Recognition (GCPR), 2024. ([project page])
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Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis , In German Conference on Pattern Recognition (GCPR), 2024. ([project page])
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Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations , In ECCV workshop: wild in 3D, 2024. ([project page])
2023
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High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF , In IEEE Winter Conference on Applications of Computer Vision (WACV), 2023. ([code] [project page])
Spotlight Presentation
2022
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Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. ([poster] [presentation] [code])
2020
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Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach , In IEEE Winter Conference on Applications of Computer Vision (WACV), 2020. ([poster] [presentation] [code] [cvf])
Spotlight Presentation
