Cheng Lin

papers

1,583

total citations

papers (18)

NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces With Arbitrary Topologies

CVPR 2023arXiv

citations

Adaptive Surface Normal Constraint for Depth Estimation

ICCV 2021arXiv

citations

Point2Skeleton: Learning Skeletal Representations from Point Clouds

CVPR 2021arXiv

citations

Learnable Motion Coherence for Correspondence Pruning

CVPR 2021arXiv

citations

Align3R: Aligned Monocular Depth Estimation for Dynamic Videos

CVPR 2025arXiv

citations

TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer

ICCV 2023arXiv

citations

Modeling 3D Shapes by Reinforcement Learning

ECCV 2020arXiv

citations

3PSDF: Three-Pole Signed Distance Function for Learning Surfaces With Arbitrary Topologies

CVPR 2022arXiv

citations

Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models

ECCV 2024arXiv

citations

CADDreamer: CAD Object Generation from Single-view Images

CVPR 2025arXiv

citations

🎧MOSPA: Human Motion Generation Driven by Spatial Audio

NEURIPS 2025arXiv

citations

TrackingWorld: World-centric Monocular 3D Tracking of Almost All Pixels

NEURIPS 2025arXiv

citations

MAGE : Single Image to Material-Aware 3D via the Multi-View G-Buffer Estimation Model

CVPR 2025

citations

Efficient Fine-Tuning of Large Models via Nested Low-Rank Adaptation

ICCV 2025

citations

AIRA: Activation-Informed Low-Rank Adaptation for Large Models

ICCV 2025

citations

Cheng Lin

papers (18)

Wonder3D: Single Image to 3D using Cross-Domain Diffusion

SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views

Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images

NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces With Arbitrary Topologies

Adaptive Surface Normal Constraint for Depth Estimation

Point2Skeleton: Learning Skeletal Representations from Point Clouds

Learnable Motion Coherence for Correspondence Pruning

Align3R: Aligned Monocular Depth Estimation for Dynamic Videos

TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer

Modeling 3D Shapes by Reinforcement Learning

3PSDF: Three-Pole Signed Distance Function for Learning Surfaces With Arbitrary Topologies

Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models

CADDreamer: CAD Object Generation from Single-view Images

🎧MOSPA: Human Motion Generation Driven by Spatial Audio

TrackingWorld: World-centric Monocular 3D Tracking of Almost All Pixels

MAGE : Single Image to Material-Aware 3D via the Multi-View G-Buffer Estimation Model

Efficient Fine-Tuning of Large Models via Nested Low-Rank Adaptation

AIRA: Activation-Informed Low-Rank Adaptation for Large Models

papers (18)

Wonder3D: Single Image to 3D using Cross-Domain Diffusion

SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views

Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images

NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces With Arbitrary Topologies

Adaptive Surface Normal Constraint for Depth Estimation

Point2Skeleton: Learning Skeletal Representations from Point Clouds

Learnable Motion Coherence for Correspondence Pruning

Align3R: Aligned Monocular Depth Estimation for Dynamic Videos

TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer

Modeling 3D Shapes by Reinforcement Learning

3PSDF: Three-Pole Signed Distance Function for Learning Surfaces With Arbitrary Topologies

Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models

CADDreamer: CAD Object Generation from Single-view Images

🎧MOSPA: Human Motion Generation Driven by Spatial Audio

TrackingWorld: World-centric Monocular 3D Tracking of Almost All Pixels

MAGE : Single Image to Material-Aware 3D via the Multi-View G-Buffer Estimation Model

Efficient Fine-Tuning of Large Models via Nested Low-Rank Adaptation

AIRA: Activation-Informed Low-Rank Adaptation for Large Models