Assistant Professor
University of Cambridge
Email: sw2181 AT cam.ac.uk
I am an incoming Assistant Professor in the Department of Engineering at the University of Cambridge starting in March 2025. I'm building a research group focusing on modeling the dynamic physical 3D world from images and will be looking for PhD students to start in October 2025. If you are interested in joining us and have experience in 3D computer vision, generative models, and/or computer graphics, please apply to the PhD in Engineering program by the funding deadline on December 3, 2024.
To PhD applicants: Cambridge enforces a strict deadline for recommendation letters—all letters must be submitted by the application deadline, unlike many American schools which often allow late submissions of recommendation letters. If you have submitted an application by Dec 3, listed me as a potential supervisor, and wish to confirm that your application is complete and eligible for funding competition, send me a short email.
My current research focuses on 3D/4D computer vision and inverse rendering. I'm particularly fascinated by symmetries and structures in nature, as well as how they connect to the way we make sense of our perceptual experiences. A fundamental goal of my research is to build generative models of the physical natural world, capturing distributions of physical properties (e.g., 3D shape, motion, reflectance) from raw, casual multimodal observations (e.g., Internet photos, videos, audio) without direct supervision.
I obtained my PhD from Oxford VGG, advised by Andrea Vedaldi and Christian Rupprecht, and BSc in Computer Science from HKUST, working with Chi-Keung Tang and Yu-Wing Tai. I also spent 1.5 years at Stanford University, working as a postdoc with Jiajun Wu.
Highlights:
Jun 2025: We are organizing three workshops at CVPR 2025: Workshop on 4D Vision, 5th CV4Animals Workshop, and Workshop on Visual Concepts.
Oct 2024: Humbled to receive the ECVA PhD Award!
Nov 2023: Honored to receive the BMVA Sullivan Doctoral Thesis Prize!
Jun 2020: Our work on Unsup3D received the Best Paper Award at CVPR 2020!
Recent Talks:
[2024/05] Physical Natural World from Images
[2023/12] Learning 3D Fauna and Flora in the Wild
( * and † indicate equal contribution or alphabetical order )
Chen Geng, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu
arXiv preprint 2024
Page
Paper
Ben Kaye*, Tomas Jakab*, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
arXiv preprint 2024
Page
Paper
Yunzhi Zhang, Zizhang Li, Matt Zhou, Shangzhe Wu, Jiajun Wu
arXiv preprint 2024
Page
Paper
Code
Keqiang Sun*, Dor Litvak*, Yunzhi Zhang, Hongsheng Li, Jiajun Wu†, Shangzhe Wu†
ECCV 2024
Page
Video
Paper
Code
Mason L. Wang*, Ryosuke Sawata*, Samuel Clarke, Ruohan Gao, Shangzhe Wu, Jiajun Wu
CVPR 2024
Page
Video
Paper
Code
Zizhang Li*, Dor Litvak*, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu†, Andrea Vedaldi†, Jiajun Wu†
CVPR 2024
Page
Demo
Paper
Code
Sharon Lee*, Yunzhi Zhang*, Shangzhe Wu, Jiajun Wu
ICLR 2024
Page
Paper
Code
Zhengfei Kuang*, Yunzhi Zhang*, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu
NeurIPS (Datasets and Benchmarks Track) 2023
Page
Paper
Code
Tomas Jakab*, Ruining Li*, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
3DV 2024
Page
Paper
Code
Yunzhi Zhang, Shangzhe Wu, Noah Snavely, Jiajun Wu
CVPR 2023
Page
Paper
Code
Shangzhe Wu*, Ruining Li*, Tomas Jakab*, Christian Rupprecht, Andrea Vedaldi
CVPR 2023
Page
Video
Paper
Code
Shangzhe Wu
DPhil Thesis, University of Oxford, 2022
ECVA PhD Award, and BMVA Sullivan Doctoral Thesis Prize
Thesis
Keqiang Sun*, Shangzhe Wu*, Zhaoyang Huang, Ning Zhang, Quan Wang, Hongsheng Li
NeurIPS 2022 (Spotlight), also in TPAMI 2023
Page
Paper
Paper (TPAMI)
Code
Felix Wimbauer, Shangzhe Wu, Christian Rupprecht
CVPR 2022
Page
Video
Paper
Code
Shangzhe Wu*, Tomas Jakab*, Christian Rupprecht, Andrea Vedaldi
IJCV 2023
Page
Video
Paper
Code
Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, Victor Adrian Prisacariu
arXiv preprint 2021
Page
Paper
Code
Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa
CVPR 2021
Page
Video
Paper
Code
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
CVPR 2020 (Best Paper Award), also in TPAMI 2021, IJCAI SCBP Track 2021
Page
Demo
Video
Paper
Paper (TPAMI)
Code
Shangzhe Wu, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang
ECCV 2018
Page
Paper
Paper (High Res)
Sup Mat
Poster
Code
Yongyi Lu, Shangzhe Wu, Yu-Wing Tai, Chi-Keung Tang
ECCV 2018
Page
Paper
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