Lu Sang

23 papers A* 3A 2Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
4Deform: Neural Surface Deformation for Robust Shape Interpolation.
CVPR
Lu Sang, Zehranaz Canfes, Dongliang Cao, Riccardo Marin, Florian Bernard, Daniel Cremers
2025 J jnl
4Deform: Neural Surface Deformation for Robust Shape Interpolation.
CoRR
Lu Sang, Zehranaz Canfes, Dongliang Cao, Riccardo Marin, Florian Bernard, Daniel Cremers
2025 J jnl
Beyond Complete Shapes: A Benchmark for Quantitative Evaluation of 3D Shape Surface Matching Algorithms.
Comput. Graph. Forum
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
2025 A* conf
Implicit Neural Surface Deformation with Explicit Velocity Fields.
ICLR
Lu Sang, Zehranaz Canfes, Dongliang Cao, Florian Bernard, Daniel Cremers
2025 J jnl
Implicit Neural Surface Deformation with Explicit Velocity Fields.
CoRR
Lu Sang, Zehranaz Canfes, Dongliang Cao, Florian Bernard, Daniel Cremers
2025 J jnl
PRISM: Probabilistic Representation for Integrated Shape Modeling and Generation.
CoRR
Lei Cheng, Mahdi Saleh, Qing Cheng, Lu Sang, Hongli Xu, Daniel Cremers, Federico Tombari
2025 J jnl
TwoSquared: 4D Generation from 2D Image Pairs.
CoRR
Lu Sang, Zehranaz Canfes, Dongliang Cao, Riccardo Marin, Florian Bernard, Daniel Cremers
2024 J jnl
Beyond Complete Shapes: A Quantitative Evaluation of 3D Shape Matching Algorithms.
CoRR
Viktoria Ehm, Nafie El Amrani, Yizheng Xie, Lennart Bastian, Maolin Gao, Weikang Wang, Lu Sang, Dongliang Cao, Zorah Lähner, Daniel Cremers, Florian Bernard
2024 — conf
Coloring the Past: Neural Historical Monuments Reconstruction from Archival Photography.
GCPR (2)
Dávid Komorowicz, Lu Sang, Ferdinand Maiwald, Daniel Cremers
2024 — conf
DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting.
ECCV (73)
Linus Härenstam-Nielsen, Lu Sang, Abhishek Saroha, Nikita Araslanov, Daniel Cremers
2024 J jnl
DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting.
CoRR
Linus Härenstam-Nielsen, Lu Sang, Abhishek Saroha, Nikita Araslanov, Daniel Cremers
2024 — conf
Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations.
GCPR (1)
Lu Sang, Abhishek Saroha, Maolin Gao, Daniel Cremers
2024 — conf
Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis.
GCPR (2)
Mreenav Shyam Deka, Lu Sang, Daniel Cremers
2023 J jnl
Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography.
CoRR
Dávid Komorowicz, Lu Sang, Ferdinand Maiwald, Daniel Cremers
2023 J jnl
Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis.
CoRR
Mreenav Shyam Deka, Lu Sang, Daniel Cremers
2023 A conf
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF.
WACV
Lu Sang, Bjoern Haefner, Xingxing Zuo, Daniel Cremers
2023 J jnl
Weight-Aware Implicit Geometry Reconstruction with Curvature-Guided Sampling.
CoRR
Lu Sang, Abhishek Saroha, Maolin Gao, Daniel Cremers
2022 A* conf
Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction.
CVPR
Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers
2022 J jnl
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF.
CoRR
Lu Sang, Bjoern Haefner, Xingxing Zuo, Daniel Cremers
2021 J jnl
Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry.
CoRR
Ji Yang, Lu Sang, Daniel Cremers
2021 J jnl
Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction.
CoRR
Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers
2020 A conf
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach.
WACV
Lu Sang, Bjoern Haefner, Daniel Cremers
2019 J jnl
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach.
CoRR
Lu Sang, Bjoern Haefner, Daniel Cremers