Bio

I will be joining Westlake University in September 2025, and currently an ELLIS Postdoc joinly supervised by Prof. Andreas Geiger (University of Tübingen) and Prof. Siyu Tang (ETH Zürich). I obtained my Ph.D at Chinese Academy of Sciences (ShanghaiTech) Visual Intelligent Center (VIC) in 2022, working with Prof. Jingyi Yu, I was an intern at Disney Research LA and Hao Su's Lab during my Ph.D. Before that, I received my Bachelor degree in 2016 from Xidian University.

My research focuses on the intersection of computer graphics and computer vision, encompassing areas such as 3D representation learning, 3D reconstruction and generation, and neural rendering. I am currently investigating methods to optimize large 3D models faster and more affordable. My work will concentrate on generating 3D data from videos and simulations, towards a 3D foundation. I have a great passion on new things and ideas, my goal is to create magic and happiness. Outside my research, I love photography, badminton, and movie appreciation.

Our Inception3D Lab is actively recruiting visiting students!!

Services

Area Chair: CVPR 23/24/25, 3DV 24/25, NeurIPS 24
Journal reviewer: TOG, TIP, TPAMI, INFFUS ...
Conference reviewer: SIGGRAPH, SIGGRAPH Asia, ICCV, ECCV, ICLR, NeurIPS, AAAI ...
Workshop: Neural Rendering Intelligence (CVPR'24)

Publications

* denotes equal contribution or advising; † denotes corresponding author

LaRa: Efficient Large-Baseline Radiance Fields

ECCV 2024

Anpei Chen, Haofei Xu, Stefano Esposito, Siyu Tang, Andreas Geiger

[Project page] [Paper] [Code]

2DGS: 2d gaussian splatting for geometrically accurate radiance fields

SIGGRAPH 2024

Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, Shenghua Gao

[Project page] [Paper] [Code]

NeLF-Pro: Neural Light Field Probes

CVPR 2024

Zinuo You, Andreas Geiger, Anpei Chen†

[Project page] [Paper] [Code]

Mip-Splatting: Alias-free 3D Gaussian Splatting

CVPR 2024 (Oral, Best student paper)

Zehao Yu, Anpei Chen†, Binbin Huang, Torsten Sattler, Andreas Geiger

[Project page] [Paper] [Code]

MuRF: Multi-Baseline Radiance Fields

CVPR 2024

Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang,
Marc Pollefeys, Andreas Geiger*, Fisher Yu*

[Project page] [Paper] [Code]

GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs

CVPR 2024

Gege Gao, Weiyang Liu, Anpei Chen, Andreas Geiger, Bernhard Schölkopf

[Project page] [Paper] [Code]

Factor Fields: A Unified Framework for Neural Fields and Beyond

Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger

[Project page] [Paper] [Code]

Dictionary Fields: Learning a Neural Basis Decomposition

SIGGRAPH 2023 (Journal Track)

Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger

[Project page] [Paper] [Code]

Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction

ICCV 2023

Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su

[Project page] [Paper] [Code]

SDFStudio: A Unified Framework for Surface Reconstruction

OpenSource Project (1.5K+ stars)

Zehao Yu, Anpei Chen, Bozidar Antic, Songyou Peng, Apratim Bhattacharyya,
Michael Niemeyer, Siyu Tang, Torsten Sattler, Andreas Geiger

[Project page] [Code] [Documentation] [Dataset]

NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields

IEEE VR 2023 (TVCG Journal Track)

Liangchen Song, Anpei Chen, Zhong Li, Zhang Chen, Lele Chen, Junsong Yuan, Yi Xu, Andreas Geiger

[Project page] [Paper] [Code] [NerfStudio]

TensoRF: Tensorial Radiance Fields

ECCV 2022 (Three strong accept, most influential ECCV'22 papers #2)

Anpei Chen*, Zexiang Xu*, Andreas Geiger, Jingyi Yu, Hao Su

[Project page] [Paper] [Review] [Rebuttal] [Meta-review] [Code] [NerfStudio]

ICARUS: A Lightweight Neural Plenoptic Rendering Architecture

Siggraph Asia 2022 (TOG Journal Track)

Chaolin Rao, Huangjie Yu, Haochuan Wan, Jindong Zhou, Yueyang Zheng, Yu Ma,
Anpei Chen, Minye Wu, Binzhe Yuan, Pingqiang Zhou, Xin Lou, Jingyi Yu

[Paper]

PREF: Phasorial Embedding Fields for Compact Neural Representation

Arxiv

Binbin Huang, Xinhao Yan, Anpei Chen, Shenghua Gao, Jingyi Yu

[Paper] [Code]

Anisotropic Fourier Features for Image-Based Rendering and Relighting

AAAI 2022 (Oral)

Huangjie Yu, Anpei Chen, Xin Chen, Lan Xu, Ziyu Shao, Jingyi Yu

[Project page]

MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo

ICCV 2021

Anpei Chen*, Zexiang Xu*, Fuqiang Zhao, Xiaoshuai Zhang, Fanbo Xiang, Jingyi Yu, Hao Su

[Project page] [Paper] [Code]

GNeRF: GAN-based Neural Radiance Field without Posed Camera

ICCV 2021 (Oral)

Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, Jingyi Yu

[Paper] [Code] [Video]

ConvNeRF: Convolutional Neural Opacity Radiance Fields

ICCP 2021

Haimin Luo, Anpei Chen, Qixuan Zhang, Bai Pang, Minye Wu, Lan Xu, Jingyi Yu

[Paper]

SofGAN: A Portrait Image Generator with Dynamic Styling

Transactions on Graphics (TOG)

Anpei Chen*, Ruiyang Liu*, Ling Xie, Zhang Chen, Hao Su, Jingyi Yu

[Project page] [Paper] [Code]

A neural rendering framework for free-viewpoint relighting

CVPR 2020

Zhang Chen, Anpei Chen, Guli Zhang, Chengyuan Wang, Yu Ji, Kiriakos N Kutulakos, Jingyi Yu

[Paper] [Code]

Photo-Realistic Facial Details Synthesis from Single Image

ICCV 2019 (Oral)

Anpei Chen, Zhang Chen, Guli Zhang, Ziheng Zhang, Kenny Mitchell, Jingyi Yu

[Project page] [Paper] [Code]

Sparse photometric 3d face reconstruction guided by morphable models

CVPR 2019

Xuan Cao, Zhang Chen, Anpei Chen, Xin Chen, Shiying Li, Jingyi Yu

[Paper]

Learning semantics-aware distance map with semantics layering network for amodal instance segmentation

ACM MM 2019

Ziheng Zhang*, Anpei Chen*, Ling Xie, Jingyi Yu, Shenghua Gao

[Paper] [Code]

Refocusable Gigapixel Panoramas for Immersive VR Experiences

TVCG 2019

Wentao Lyu, Peng Ding, Yingliang Zhang, Anpei Chen, Minye Wu, Shu Yin, Jingyi Yu

[Paper]

Deep surface light fields

I3D 2018

Anpei Chen, Minye Wu, Yingliang Zhang, Nianyi Li, Jie Lu, Shenghua Gao, Jingyi Yu

[Project page] [Paper]