Zexiang Xu (徐泽祥)

Research Scientist at Adobe Research

zexu AT adobe.com / zexiangxu AT gmail.com

I am a research scientist at Adobe Research. I obtained my Ph.D. at University of California, San Diego, working with Prof. Ravi Ramamoorthi. During my PhD, my research has been recognized by Adobe Research Fellowship (2019) and UCSD Chancellor’s Dissertation Medal (2021).

My research interests lie at the intersection of computer vision, computer graphics, and machine learning. My research focus is to enable efficient and realistic 3D scene reconstruction and rendering, especially by reinventing 3D neural modules in classic 3D pipelines. My work has broadly covered 3D reconstruction, 3D generation, neural representations, view synthesis, relighting, rendering, appearance modeling, and appearance acquisition.

Adobe internship: If you are interested in interning at Adobe with me, feel free to send me an email with your research interests.


  • NEW! [Mar, 2024] I'm co-organizing the 1st workshop on 3D foundation models (3dfm.github.io) at CVPR 2024. Please join us!
  • NEW! [Feb, 2024] One paper is accepted to CVPR 2024 as a highlight presentation!
  • NEW! [Jan, 2024] Four papers are accepted to ICLR 2024 and three of them are selected as spotlight presentations!
  • NEW! [Nov, 2023] I finally opened my twitter account. Let's connect @zexiangxu !
  • NEW! [Sep, 2023] Two papers are accepted to NeurIPS 2023.
  • [Aug, 2023] One paper gets conditionally accepted to SIGGRAPH Asia 2023.
  • [July, 2023] One paper gets accepted to ICCV 2023.
  • [Mar, 2023] Two papers are accepted to SIGGRAPH 2023.
  • [Feb, 2023] Two papers are accepted to CVPR 2023.
  • [Dec, 2022] I will serve as an Area Chair for ICCV 2023.
  • [Aug, 2022] One paper gets accepted to Siggraph Asia 2022.
  • [July, 2022] Three papers get accepted to ECCV 2022; TensoRF gets 3 strong accepts in the final review.
  • [Mar, 2022] One paper gets accepted to SIGGRAPH 2022.
  • [Mar, 2022] Four papers (two oral presentations) get accepted to CVPR 2022!
  • [July 30, 2021] One paper gets accepted to SIGGRAPH Asia 2021.
  • [Jun 18, 2021] One paper gets accepted to TOG 2022.
  • [July 22, 2021] MVSNeRF gets accepted to ICCV 2021.
  • [Jun 8, 2021] One paper gets accepted to EGSR 2021.
  • [May 21, 2021] I am a recipient of the 2021 Chancellor's Dissertation Medal of UCSD!
  • [Mar 26, 2021] Two papers get accepted to SIGGRAPH 2021.
  • [Mar 1, 2021] Two papers (both oral) get accepted to CVPR 2021.
  • [July 31, 2020] One paper gets accepted to SIGGRAPH Asia 2020.
  • [July 6, 2020] I joined Adobe Research as a research scientist.
  • [July 2, 2020] Two papers (one spotlight) get accepted to ECCV 2020.
  • [May 27, 2020] One paper gets accepted to EGSR 2020 (CGF track).
  • [Feb 2, 2020] Two papers (one oral) get accepted to CVPR 2020.
  • [Jul 29, 2019] One paper gets accepted to SIGGRAPH Asia 2019.
  • [Mar 25, 2019] Two papers get accepted to SIGGRAPH 2019.
  • [Nov 11, 2018] I'm honored to receive the 2019 Adobe Research Fellowship .
  • [Aug 11, 2018] One paper gets accepted to SIGGRAPH Asia 2018.
  • [Mar 26, 2018] One paper gets accepted to SIGGRAPH 2018.
  • [Feb 27, 2017] One paper gets accepted to CVPR 2017.
  • [Jul 23, 2016] One paper gets accepted to SIGGRAPH Asia 2016.
  • [Sep 27, 2015] I started as a Ph.D. student at UC San Diego.
  • [Aug 14, 2014] One paper gets accepted to SIGGRAPH Asia 2014.

Selected Publications

*,† denotes equal contribution or advisory.
GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting
Kai Zhang*, Sai Bi*, Hao Tan*, Yuanbo Xiangli, Nanxuan Zhao, Kalyan Sunkavalli, Zexiang Xu
arXiv 2024
MeshLRM: Large Reconstruction Model for High-Quality Meshes
Xinyue Wei*, Kai Zhang*, Sai Bi, Hao Tan, Fujun Luan, Valentin Deschaintre, Kalyan Sunkavalli, Hao Su, Zexiang Xu
arXiv 2024
Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling
Liwen Wu, Sai Bi, Zexiang Xu, Fujun Luan, Kai Zhang, Iliyan Georgiev, Kalyan Sunkavalli, Ravi Ramamoorthi
CVPR 2024 (Highlight)
DMV3D:Denoising Multi-View Diffusion using 3D Large Reconstruction Model
Yinghao Xu, Hao Tan, Fujun Luan, Sai Bi, Peng Wang, Jiahao Li, Zifan Shi, Kalyan Sunkavalli, Gordon Wetzstein, Zexiang Xu†, Kai Zhang†
ICLR 2024 (Spotlight)
PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
Peng Wang, Hao Tan, Sai Bi, Yinghao Xu, Fujun Luan, Kalyan Sunkavalli, Wenping Wang, Zexiang Xu, Kai Zhang
ICLR 2024 (Spotlight)
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model
Jiahao Li, Hao Tan, Kai Zhang, Zexiang Xu, Fujun Luan, Yinghao Xu, Yicong Hong, Kalyan Sunkavalli, Greg Shakhnarovich, Sai Bi
ICLR 2024
MovingParts: Motion-based Part Discovery in Dynamic Radiance Field
Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu†, Hao Su†
ICLR 2024 (Spotlight)
MCNeRF: Monte Carlo Rendering and Denoising for Real-Time NeRFs
Kunal Gupta, Miloš Hašan, Zexiang Xu, Fujun Luan, Kalyan Sunkavalli, Xin Sun, Manmohan Chandraker, Sai Bi
SIGGRAPH Asia 2023
Strivec: Sparse Tri-Vector Radiance Fields
Quankai Gao*, Qiangeng Xu*, Hao Su, Ulrich Neumann, Zexiang Xu
ICCV 2023
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization
Minghua Liu*, Chao Xu*, Haian Jin*, Linghao Chen*, Mukund Varma T, Zexiang Xu, Hao Su
NeurIPS 2023
Dictionary Fields: Learning a Neural Basis Decomposition
Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger
SIGGRAPH 2023 (Journal Track)
Factor Fields: A Unified Framework for Neural Fields and Beyond
Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger
arXiv 2023
TensoIR: Tensorial Inverse Rendering
Haian Jin*, Isabella Liu*, Peijia Xu, Xiaoshuai Zhang, Songfang Han, Sai Bi, Xiaowei Zhou, Zexiang Xu†, Hao Su†
CVPR 2023
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Titas Anciukevicius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero
CVPR 2023
TensoRF: Tensorial Radiance fields
Anpei Chen*, Zexiang Xu*, Andreas Geiger, Jingyi Yu , Hao Su
ECCV 2022
ARF: Artistic Radiance Fields
Kai Zhang, Nick Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely
ECCV 2022
Physically-based Editing of Indoor Scene Lighting from a Single Image
Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli, Miloš Hašan, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker
ECCV 2022 (Oral)
Rendering Neural Materials on Curved Surfaces
Alexandr Kuznetsov, Xuezheng Wang, Krishna Mullia, Fujun Luan, Zexiang Xu, Miloš Hašan, Ravi Ramamoorthi
NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction
Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli, Hao Su, Zexiang Xu
CVPR 2022 (Oral)
Point-NeRF: Point-based Neural Radiance Fields
Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu Kalyan Sunkavalli , Ulrich Neumann
CVPR 2022 (Oral)
RigNeRF: Fully Controllable Neural 3D Portraits
ShahRukh Athar, Zexiang Xu, Kalyan Sunkavalli, Eli Shechtman, Zhixin Shu
CVPR 2022
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes
Yu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Miloš Hašan, Kalyan Sunkavalli, Manmohan Chandraker
CVPR 2022
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo
Anpei Chen*, Zexiang Xu*, Fuqiang Zhao, Xiaoshuai Zhang, Fanbo Xiang, Jingyi Yu, Hao Su
ICCV 2021
NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting
EGSR 2021
Path Graphs: Iterative Path Space Filtering
Xi Deng, Miloš Hašan, Nathan Carr, Zexiang Xu, Steve Marschner
SIGGRAPH Asia 2021 (TOG)
NeuMIP: Multi-Resolution Neural Materials
Alexandr Kuznetsov, Krishna Mullia, Zexiang Xu, Miloš Hašan, Ravi Ramamoorthi
Hierarchical Neural Reconstruction for Path Guiding Using Hybrid Path and Photon Samples
Photon-Driven Neural Path Guiding
TOG 2022
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering
CVPR 2021 (Oral)
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets
Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Meng Song, Yuhan Liu, Yu-Ying Yeh, Rui Zhu, Nitesh Gundavarapu, Jia Shi, Sai Bi, Zexiang Xu, Hong-Xing Yu, Kalyan Sunkavalli, Miloš Hašan, Ravi Ramamoorthi, Manmohan Chandraker
CVPR 2021 (Oral)
Light stage super-resolution: continuous high-frequency relighting
Tiancheng Sun, Zexiang Xu, Xiuming Zhang, Sean Fanello, Christoph Rhemann, Paul Debevec, Yun-Ta Tsai, Jonathan T. Barron, Ravi Ramamoorthi
SIGGRAPH Asia 2020 (TOG)
Neural Reflectance Fields for Appearance Acquisition
arXiv 2020
Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images
ECCV 2020 (Spotlight)
Deep Multi Depth Panoramas for View Synthesis
ECCV 2020
Deep Kernel Density Estimation for Photon Mapping
EGSR 2020 (CGF journal track)
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
CVPR 2020 (Oral)
Deep 3D Capture: Geometry and Reflectance from Sparse Multi-View Images
CVPR 2020
Learning Generative Models for Rendering Specular Microgeometry
SIGGRAPH Asia 2019 (TOG)
Deep View Synthesis from Sparse Photometric Images
Single Image Portrait Relighting
Tiancheng Sun, Jonathan T. Barron, Yun-Ta Tsai, Zexiang Xu, Xueming Yu, Graham Fyffe, Christoph Rhemann, Jay Busch, Paul Debevec, Ravi Ramamoorthi
Learning to Reconstruct Shape and Spatially-Varying Reflectance from a Single Image
SIGGRAPH Asia 2018 (TOG)
Deep Image-based Relighting from Optimal Sparse Samples
Robust Energy Minimization for BRDF-Invariant Shape from Light Fields
CVPR 2017
Minimal BRDF Sampling for Two-Shot Near-Field Reflectance Acquisition
Zexiang Xu, Jannik Boll Nielsen, Jiyang Yu, Henrik Wann Jensen, Ravi Ramamoorthi
SIGGRAPH Asia 2016
Dynamic Hair Capture using Spacetime Optimization
Zexiang Xu, Hsiang-Tao Wu, Lvdi Wang, Changxi Zheng, Xin Tong, Yue Qi
SIGGRAPH Asia 2014


  • Area Chair: ICCV 2023
  • Program Committee: Eurographics 2024; EGSR 2022,2023
  • Conference Reviewer: CVPR, ECCV, ICCV, SIGGRAPH, SIGGRAPH Asia, Eurographics, Pacific Graphics,...
  • Journal Reviewer: TOG, TIP, TPAMI, CGF...