Wenzheng Chen

papers

1,468

total citations

papers (14)

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

NEURIPS 2022arXiv

564

citations

Extracting Triangular 3D Models, Materials, and Lighting From Images

CVPR 2022arXiv

461

citations

Learning Deformable Tetrahedral Meshes for 3D Reconstruction

NEURIPS 2020arXiv

120

citations

Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes

CVPR 2023arXiv

113

citations

DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer

NEURIPS 2021arXiv

citations

Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion

ECCV 2022arXiv

citations

GeoSplatting: Towards Geometry Guided Gaussian Splatting for Physically-based Inverse Rendering

ICCV 2025arXiv

citations

TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light

CVPR 2024

citations

RainyGS: Efficient Rain Synthesis with Physically-Based Gaussian Splatting

CVPR 2025arXiv

citations

One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency

CVPR 2025

citations

Auto-Tuning Structured Light by Optical Stochastic Gradient Descent

CVPR 2020

citations

Wenzheng Chen

papers (14)

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

Extracting Triangular 3D Models, Materials, and Lighting From Images

Learning Deformable Tetrahedral Meshes for 3D Reconstruction

Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes

DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer

Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion

HumanGen: Generating Human Radiance Fields With Explicit Priors

Relightable Neural Human Assets From Multi-View Gradient Illuminations

Towards Viewpoint Robustness in Bird's Eye View Segmentation

GeoSplatting: Towards Geometry Guided Gaussian Splatting for Physically-based Inverse Rendering

TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light

RainyGS: Efficient Rain Synthesis with Physically-Based Gaussian Splatting

One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency

Auto-Tuning Structured Light by Optical Stochastic Gradient Descent

papers (14)

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

Extracting Triangular 3D Models, Materials, and Lighting From Images

Learning Deformable Tetrahedral Meshes for 3D Reconstruction

Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes

DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer

Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion

HumanGen: Generating Human Radiance Fields With Explicit Priors

Relightable Neural Human Assets From Multi-View Gradient Illuminations

Towards Viewpoint Robustness in Bird's Eye View Segmentation

GeoSplatting: Towards Geometry Guided Gaussian Splatting for Physically-based Inverse Rendering

TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light

RainyGS: Efficient Rain Synthesis with Physically-Based Gaussian Splatting

One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency

Auto-Tuning Structured Light by Optical Stochastic Gradient Descent