Hanwen Jiang 江翰文
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About me
I am a Research Scientist at Adobe Research. My work focuses on rebuilding 3D Vision from a less traditional 3D perspective.
My goal is building scalable learning paradigms and models for spatially and physically grounded intelligence. Currently, I am interested in building 3D-aware and controllable world models (especially on representation learning) with self-supervision.
I received my Ph.D. in CS at UT Austin, honored to be advised by Prof. Qixing Huang and Prof. Georgios Pavlakos. I received an M.S. in CS from UCSD in 2021, fortunately advised by Prof. Xiaolong Wang.
Experience
2021 -
Ph.D in CS
2019 - 2021
M.S. in CS
2015 - 2019
B.E. in EE
2024 - 2025
Research Intern
2023
Research Intern
2021
Research Intern
Publications
RayZer: A Self-supervised Large View Synthesis Model
Hanwen Jiang, Hao Tan, Peng Wang, Haian Jin, Yue Zhao, Sai Bi, Kai Zhang, Fujun Luan, Kalyan Sunkavalli, Qixing Huang, Georgios Pavlakos
ICCV, 2025
Real3D: Scaling Up Large Reconstruction Models with Real-World Images
Hanwen Jiang, Qixing Huang, Georgios Pavlakos
ICCV, 2025
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
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)
Atlas Gaussians Diffusion for 3D Generation
Haitao Yang*, Yuan Dong*, Hanwen Jiang, Dejia Xu, Georgios Pavlakos, Qixing Huang
ICLR, 2025 (spotlight)
CoFie: Learning Compact Neural Surface Representations with Coordinate Fields
Hanwen Jiang, Haitao Yang, Georgios Pavlakos, Qixing Huang
NeurIPS, 2024
OmniGlue: Generalizable Feature Matching with Foundation Model Guidance
Hanwen Jiang, Arjun Karpur, Bingyi Cao, Qixing Huang, Andre Araujo
CVPR, 2024
LEAP: Liberate Sparse-view 3D Modeling from Camera Poses
Hanwen Jiang, Zhenyu Jiang, Yue Zhao, Qixing Huang
ICLR, 2024
Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow
Zhenyu Jiang, Hanwen Jiang, Yuke Zhu
ICRA, 2024
Few-View Object Reconstruction with Unknown Categories and Camera Poses
Hanwen Jiang, Zhenyu Jiang, Kristen Grauman, Yuke Zhu
3DV, 2024 (best paper candidate)
Single-Stage Visual Query Localization in Egocentric Videos
Hanwen Jiang, Santhosh Ramakrishnan, Kristen Grauman
NeurIPS, 2023 (winner of Ego4D VQ2D challenge)
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
Yuzhe Qin*, Yueh-Hua Wu*, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang
ECCV, 2022
Hand-Object Contact Consistency Reasoning for Human Grasps Generation
Hanwen Jiang*, Shaowei Liu*, Jiashun Wang, Xiaolong Wang
ICCV, 2021 (oral)
Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
Shaowei Liu*, Hanwen Jiang*, Jiarui Xu, Sifei Liu, Xiaolong Wang
CVPR, 2021
Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Networks
Qin Zou, Hanwen Jiang, Qiyu Dai, Yuanhao Yue, Long Chen, Qian Wang
IEEE TVT, 2020
Service
- Co-organizer of Ind3D workshop CVPR 2025
- Social media chair of 3DV 2025.
- Reviewer of CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, SIGGRAPH, ICRA, 3DV, AAAI, TPAMI, TVCG, RA-L, etc.
Honors & Awards
- CVPR 2025 Doctoral Consortium Selected
- ICLR 2025 Notable Reviewer
- Qualcomm Fellowship Finalist 2025 (with Yuehao Wang)
- UT Graduate Recognition Fellowship
- 3DV 2024 Best Paper Candidate
- Winner of Ego4D VQ2D challenge at CVPR 2024
- National Scholarship of China (2016 & 2017)
Personal
I am also a Chinese Calligrapher, my previous undergrad graduation exhibition (2019, in Chinese) is here.
I love table tennis, with rating ~1800.