Lu Sang

According to our database, Lu Sang authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

TwoSquared: 4D Generation from 2D Image Pairs.

Lu Sang, Zehranaz Canfes, Dongliang Cao, Riccardo Marin, Florian Bernard, Daniel Cremers

CoRR, April, 2025

PRISM: Probabilistic Representation for Integrated Shape Modeling and Generation.

Lei Cheng, Mahdi Saleh, Qing Cheng, Lu Sang, Hongli Xu, Daniel Cremers, Federico Tombari

CoRR, April, 2025

Beyond Complete Shapes: A Benchmark for Quantitative Evaluation of 3D Shape Surface Matching Algorithms.

Viktoria Ehm, Nafie El Amrani, Yizheng Xie, Lennart Bastian, M. Gao, W. Wang, Lu Sang, Dongliang Cao, Tobias Weißberg, Zorah Lähner, Daniel Cremers, Florian Bernard

Comput. Graph. Forum, 2025

Implicit Neural Surface Deformation with Explicit Velocity Fields.

Lu Sang, Zehranaz Canfes, Dongliang Cao, Florian Bernard, Daniel Cremers

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

4Deform: Neural Surface Deformation for Robust Shape Interpolation.

Lu Sang, Zehranaz Canfes, Dongliang Cao, Riccardo Marin, Florian Bernard, Daniel Cremers

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Beyond Complete Shapes: A Quantitative Evaluation of 3D Shape Matching Algorithms.

Viktoria Ehm, Nafie El Amrani, Yizheng Xie, Lennart Bastian, Maolin Gao, Weikang Wang, Lu Sang, Dongliang Cao, Zorah Lähner, Daniel Cremers, Florian Bernard

CoRR, 2024

DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting.

Linus Härenstam-Nielsen, Lu Sang, Abhishek Saroha, Nikita Araslanov, Daniel Cremers

Proceedings of the Computer Vision - ECCV 2024, 2024

Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations.

Lu Sang, Abhishek Saroha, Maolin Gao, Daniel Cremers

Proceedings of the Pattern Recognition, 2024

Coloring the Past: Neural Historical Monuments Reconstruction from Archival Photography.

Dávid Komorowicz, Lu Sang, Ferdinand Maiwald, Daniel Cremers

Proceedings of the Pattern Recognition, 2024

Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis.

Mreenav Shyam Deka, Lu Sang, Daniel Cremers

Proceedings of the Pattern Recognition, 2024

2023

Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography.

Dávid Komorowicz, Lu Sang, Ferdinand Maiwald, Daniel Cremers

CoRR, 2023

Weight-Aware Implicit Geometry Reconstruction with Curvature-Guided Sampling.

Lu Sang, Abhishek Saroha, Maolin Gao, Daniel Cremers

CoRR, 2023

High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF.

Lu Sang, Bjoern Haefner, Xingxing Zuo, Daniel Cremers

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction.

Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry.

Ji Yang, Lu Sang, Daniel Cremers

CoRR, 2021

2020

Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach.

Lu Sang, Bjoern Haefner, Daniel Cremers

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020