Scholar
Anpei Chen
Google Scholar ID: fuR1FBwAAAAJ
Westlake University
Citations & Impact
Citations
5,825
H-index
20
i10-index
23
Publications
20
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including Easi3R: Estimating Disentangled Motion from DUSt3R Without Training (ICCV 2025), GenFusion: Closing the Loop between Reconstruction and Generation via Videos (CVPR 2025), Ref-GS: Directional Factorization for 2D Gaussian Splatting (CVPR 2025), Feat2GS: Probing Visual Foundation Models with Gaussian Splatting (CVPR 2025), Volumetric Surfaces: Representing Fuzzy Geometries with Layered Meshes (CVPR 2025), LaRa: Efficient Large-Baseline Radiance Fields (ECCV 2024), 2DGS: 2d gaussian splatting for geometrically accurate radiance fields (SIGGRAPH 2024), NeLF-Pro: Neural Light Field Probes (CVPR 2024), Mip-Splatting: Alias-free 3D Gaussian Splatting (CVPR 2024), MuRF: Multi-Baseline Radiance Fields (CVPR 2024), GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs (CVPR 2024), Factor Fields: A Unified Framework for Neural Fields and Beyond, Dictionary Fields: Learning a Neural Basis Decomposition (SIGGRAPH 2023), Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction (ICCV 2023), SDFStudio: A Unified Framework for Surface Reconstruction (OpenSource Project, 1.5K+ stars).
Research Experience
- Leads the Inception3D Lab; served as Area Chair for CVPR 23/24/25/26, 3DV 24/25, NeurIPS 24/25; reviewer for journals like TOG, TIP, TPAMI, INFFUS; reviewer for conferences including SIGGRAPH, SIGGRAPH Asia, ICCV, ECCV, ICLR, NeurIPS, AAAI; organized workshops Neural Rendering Intelligence (CVPR'24) and Wild3D (ICCV'25).
Education
- Received Bachelor's degree from Xidian University in 2016; obtained Ph.D. from Chinese Academy of Sciences (ShanghaiTech) Visual Intelligent Center in 2022, supervised by Prof. Jingyi Yu; was a visiting scholar at Hao Su's Lab and ELLIS Postdoc, jointly supervised by Prof. Andreas Geiger (University of Tübingen) and Prof. Siyu Tang (ETH Zürich).
Background
- Research interests include computer graphics, computer vision, and spatial intelligence, encompassing areas such as visual representation learning, 3D reconstruction & generation, and physics, with the goal of efficiently understanding 3D from 2D.
Miscellany
- Has a great passion for new things and ideas, aiming to create magic and happiness.
