Technical University of Munich

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.

08.2023: I currently have two Master's thesis topics about dynamic 3D reconstruction. Feel free to contact me if you are interested. Please plan at least 8 months for the projects since it will be a bit challenging.

I offer the Master Thesis project on 3D reconstruction/camera tracking and mapping. If you are interested and fulfill the following requirement, 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.

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Preprints
2023
[]		Weight-Aware Implicit Geometry Reconstruction with Curvature-Guided Sampling (L Sang, A Saroha, M Gao and D Cremers), In arXiv preprint arXiv:2306.02099, 2023.  [bibtex]
Conference and Workshop Papers
2023
[]		High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF (L Sang, B Haefner, X Zuo and D Cremers), In IEEE Winter Conference on Applications of Computer Vision (WACV), 2023. ([code] ) [bibtex] [arXiv:2210.12202]Spotlight Presentation
2022
[]		Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction (C Sommer, L Sang, D Schubert and D Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. ([poster] [presentation] [code]) [bibtex] [pdf]
2020
[]		Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach (L. Sang, B. Haefner and D. Cremers), In IEEE Winter Conference on Applications of Computer Vision (WACV), 2020. ([poster] [presentation] [code] [cvf]) [bibtex] [doi] [arXiv:1912.06501] [pdf]Spotlight Presentation

• Seminar: Advanced topics on 3D Reconstruction

• Seminar: An Overview of Methods for Accurate Geometry Reconstruction

• Numerical Algorithms in Computer Vision and Machine Learning