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Zexiang Xu (徐泽祥)

VP of R&D at Hillbot Inc.

zexiangxu AT gmail.com

[CV] [Google Scholar] [Twitter]

I am Vice President of Research and Development at Hillbot, where I mainly work on multimodal foundation models for robotics and embodied AI. Prior to joining Hillbot, I was a research scientist at Adobe Research, working on neural 3D, 3D large models, and GenAI foundation models. Before that, I obtained my Ph.D. at University of California, San Diego, advised by Prof. Ravi Ramamoorthi.

My research lies at the intersection of computer vision, computer graphics, machine learning, and AI foundation models. My previous work has broadly covered 3D reconstruction, 3D generation, neural representations, view synthesis, relighting, appearance modeling, and appearance acquisition.

News

NEW! [Jun, 2025] One paper gets accepted to ICML 2025 and two papers get accepted to ICCV 2025.
NEW! [Mar, 2025] Three papers, including two journal papers (TOG), are accepted to SIGGRAPH 2025.
NEW! [Feb, 2025] Four papers are accepted to CVPR 2025.
NEW! [Jan, 2025] Two papers, one oral and one spotlight, are accepted to ICLR 2025.
NEW! [Dec, 2024] I left Adobe and joined Hillbot as VP of Research and Development.
NEW! [Sep, 2024] I will serve as an Area Chair for CVPR 2025.
NEW! [Sep, 2024] Three papers are accepted to NeurIPS 2024.
NEW! [July, 2024] Two papers are accepted to ECCV 2024.
[Mar, 2024] I'm co-organizing the 1st workshop on 3D foundation models (3dfm.github.io) at CVPR 2024.
[Feb, 2024] I gave talks at UIUC, University of Tübingen, and Oregon State University on 3D AI GenTech.
[Feb, 2024] One paper is accepted to CVPR 2024 as a highlight presentation!
[Jan, 2024] Four papers are accepted to ICLR 2024 and three of them are selected as spotlight presentations!
[Nov, 2023] I finally opened my twitter account. Let's connect @zexiangxu !
[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.

Service

Area Chair: ICCV 2023, CVPR 2025

Paper Committee: Eurographics 2024; EGSR 2022-2024

Conference Reviewer: CVPR, ECCV, ICCV, ICLR, NeurIPS, SIGGRAPH, SIGGRAPH Asia, Eurographics, Pacific Graphics,...

Journal Reviewer: TOG, TIP, TPAMI, CGF...

Workshop Organizer: 3D foundation models (CVPR 2024)

Selected Publications

*,† denotes equal contribution or advisory.

Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats

Ziwen Chen, Hao Tan, Kai Zhang, Sai Bi, Fujun Luan, Yicong Hong, Fuxin Li, Zexiang Xu

ICCV 2025

[Paper] [Project]

DMesh++: An Efficient Differentiable Mesh for Complex Shapes

Sanghyun Son, Matheus Gadelha, Yang Zhou, Matthew Fisher, Zexiang Xu, Yi-Ling Qiao, Ming C. Lin, Yi Zhou

ICCV 2025

[Paper] [Project]

Gaussian Mixture Flow Matching Models

Hansheng Chen, Kai Zhang, Hao Tan, Zexiang Xu, Fujun Luan, Leonidas Guibas, Gordon Wetzstein, Sai Bi

ICML 2025

[Paper] [Project]

RigAnything: Template-Free Autoregressive Rigging for Diverse 3D Assets

Isabella Liu, Zhan Xu, Wang Yifan, Hao Tan, Zexiang Xu, Xiaolong Wang, Hao Su, Zifan Shi

SIGGRAPH 2025 (TOG)

[Paper] [Project]

Neural BRDF Importance Sampling by Reparameterization

Liwen Wu, Sai Bi, Zexiang Xu, Hao Tan, Kai Zhang, Fujun Luan, Haolin Lu, Ravi Ramamoorthi

SIGGRAPH 2025

[Paper] [Project]

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data

Hanwen Jiang, Zexiang Xu, Desai Xie, Ziwen Chen, Haian Jin, Fujun Luan, Zhixin Shu, Kai Zhang, Sai Bi, Xin Sun, Jiuxiang Gu, Qixing Huang, Georgios Pavlakos, Hao Tan

CVPR 2025

[Paper] [Project]

Buffer Anytime: Zero-Shot Video Depth and Normal from Image Priors

Zhengfei Kuang, Tianyuan Zhang, Kai Zhang, Hao Tan, Sai Bi, Yiwei Hu, Zexiang Xu, Milos Hasan, Gordon Wetzstein, Fujun Luan

CVPR 2025

[Paper] [Project]

LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias

Haian Jin, Hanwen Jiang, Hao Tan, Kai Zhang, Sai Bi, Tianyuan Zhang, Fujun Luan, Noah Snavely, Zexiang Xu

ICLR 2025 (Oral)

[Paper] [Project]

RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang Xu, Sai Bi, Hao Tan, He Zhang, Yiwei Hu, Milos Hasan, William T. Freeman, Kai Zhang, Fujun Luan

ICLR 2025 (Spotlight)

[Paper] [Project]

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

[Paper] [Project]

Neural Gaffer: Relighting Any Object via Diffusion

Haian Jin, Yuan Li, Fujun Luan, Yuanbo Xiangli, Sai Bi, Kai Zhang, Zexiang Xu, Jin Sun, Noah Snavely

NeurIPS 2024

[Paper] [Project]

LRM-Zero: Training Large Reconstruction Models with Synthesized Data

Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu, Yi Zhou, Sören Pirk, Arie Kaufman, Xin Sun, Hao Tan

NeurIPS 2024

[Paper] [Project]

DMesh: A Differentiable Mesh Representation

Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou

NeurIPS 2024

[Paper] [Project]

GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting

Kai Zhang*, Sai Bi*, Hao Tan*, Yuanbo Xiangli, Nanxuan Zhao, Kalyan Sunkavalli, Zexiang Xu

ECCV 2024

[Paper] [Project]

SuperGaussian: Repurposing Video Models for 3D Super Resolution

Yuan Shen, Duygu Ceylan, Paul Guerrero, Zexiang Xu, Niloy J. Mitra, Shenlong Wang, Anna Früshtück

ECCV 2024

[Paper] [Project]

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)

[Paper] [Project]

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)

[Paper] [Project]

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)

[Paper] [Project]

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

[Paper] [Project]

MovingParts: Motion-based Part Discovery in Dynamic Radiance Field

Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu†, Hao Su†

ICLR 2024 (Spotlight)

[Paper] [Project]

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

[Paper] [Project]

Strivec: Sparse Tri-Vector Radiance Fields

Quankai Gao*, Qiangeng Xu*, Hao Su, Ulrich Neumann, Zexiang Xu

ICCV 2023

[Paper] [Code]

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

[Project] [Code]

Dictionary Fields: Learning a Neural Basis Decomposition

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

SIGGRAPH 2023 (Journal Track)

[Project]

Factor Fields: A Unified Framework for Neural Fields and Beyond

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

arXiv 2023

[Project] [Paper]

TensoIR: Tensorial Inverse Rendering

Haian Jin*, Isabella Liu*, Peijia Xu, Xiaoshuai Zhang, Songfang Han, Sai Bi, Xiaowei Zhou, Zexiang Xu†, Hao Su†

CVPR 2023

[Project] [Paper]

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

[Project] [Paper]

TensoRF: Tensorial Radiance fields

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

ECCV 2022

[Project] [Paper]

ARF: Artistic Radiance Fields

Kai Zhang, Nick Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely

ECCV 2022

[Project] [Paper]

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)

[Project] [Paper]

Rendering Neural Materials on Curved Surfaces

Alexandr Kuznetsov, Xuezheng Wang, Krishna Mullia, Fujun Luan, Zexiang Xu, Miloš Hašan, Ravi Ramamoorthi

SIGGRAPH 2022

[Project]

NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction

Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli, Hao Su, Zexiang Xu

CVPR 2022 (Oral)

[Project] [Paper]

Point-NeRF: Point-based Neural Radiance Fields

Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu Kalyan Sunkavalli , Ulrich Neumann

CVPR 2022 (Oral)

[Project] [Paper]

RigNeRF: Fully Controllable Neural 3D Portraits

ShahRukh Athar, Zexiang Xu, Kalyan Sunkavalli, Eli Shechtman, Zhixin Shu

CVPR 2022

[Paper]

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

[Paper]

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

[arXiv] [Project]

NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting

Tiancheng Sun*, Kai-En Lin*,Sai Bi, Zexiang Xu, Ravi Ramamoorthi

EGSR 2021

[Project]

Path Graphs: Iterative Path Space Filtering

Xi Deng, Miloš Hašan, Nathan Carr, Zexiang Xu, Steve Marschner

SIGGRAPH Asia 2021 (TOG)

[Paper]

NeuMIP: Multi-Resolution Neural Materials

Alexandr Kuznetsov, Krishna Mullia, Zexiang Xu, Miloš Hašan, Ravi Ramamoorthi

SIGGRAPH 2021 (TOG)

[Project]

Hierarchical Neural Reconstruction for Path Guiding Using Hybrid Path and Photon Samples

Shilin Zhu, Zexiang Xu,Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi

SIGGRAPH 2021 (TOG)

[Paper]

Photon-Driven Neural Path Guiding

Shilin Zhu, Zexiang Xu,Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi

TOG 2022

[arXiv]

NeuTex: Neural Texture Mapping for Volumetric Neural Rendering

Fanbo Xiang, Zexiang Xu,Miloš Hašan, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Hao Su

CVPR 2021 (Oral)

[arXiv] [Project]

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)

[Project]

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)

[Project]

Neural Reflectance Fields for Appearance Acquisition

Sai Bi*, Zexiang Xu*, Pratul P. Srinivasan, Ben Mildenhall, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi

arXiv 2020

[arXiv]

Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images

Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi

ECCV 2020 (Spotlight)

[arXiv] [video]

Deep Multi Depth Panoramas for View Synthesis

Kai-En Lin, Zexiang Xu, Ben Mildenhall, Pratul P. Srinivasan, Yannick Hold-Geoffroy, Stephen DiVerdi, Qi Sun, Kalyan Sunkavalli, Ravi Ramamoorthi

ECCV 2020

[arXiv] [video]

Deep Kernel Density Estimation for Photon Mapping

Shilin Zhu*, Zexiang Xu*, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi

EGSR 2020 (CGF journal track)

[paper]

Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness

Shuo Cheng*, Zexiang Xu*, Shilin Zhu, Zhuwen Li, Li Erran Li, Ravi Ramamoorthi, Hao Su

CVPR 2020 (Oral)

[arXiv]

Deep 3D Capture: Geometry and Reflectance from Sparse Multi-View Images

Sai Bi, Zexiang Xu, Kalyan Sunkavalli, David Kriegman, Ravi Ramamoorthi

CVPR 2020

[arXiv] [video]

Learning Generative Models for Rendering Specular Microgeometry

Alexandr Kuznetsov, Miloš Hašan,Zexiang Xu, Lingqi Yan, Bruce Walter, Nima Khademi Kalantari, Steve Marschner, Ravi Ramamoorthi

SIGGRAPH Asia 2019 (TOG)

[arXiv] [video]

Deep View Synthesis from Sparse Photometric Images

Zexiang Xu, Sai Bi, Kalyan Sunkavalli, Sunil Hadap, Hao Su, Ravi Ramamoorthi

SIGGRAPH 2019 (TOG)

[paper] [video]

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

SIGGRAPH 2019 (TOG)

[paper] [video]