He was born in 1996 in Henan, China. He graduated from Dalian University of Technology (DUT) in 2018 with a bachelor's degree in computer science and technology (Outstanding Graduates of Liaoning Province), supervised by Prof. YANG, Xin. He obtained his Ph.D. degree in Computer Science and Engineering from The Chinese University of Hong Kong (CUHK) in 2022, supervised by Prof. WONG, Tien-Tsin. From 2022 to 2023, he was a researcher and developer at PICO Mixed Reality, Bytedance. Since November 2024, he joined Tencent AI Lab as a senior researcher.

His work has been selected as Best Paper Finalist in ICCV'2023. He received the CCF Elite Collegiate Award in 2017. He has served as a reviewer for top-tier conferences and journals, including SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, NeurIPS, EG, TVCG, etc.

His research interests lie in the interface of Computer Graphics, Computer Vision, and AI, with a focus on 3D learning, including Reconstruction, Rendering, Understanding, and Generation. He is particularly interested in exploring how new-generation AI technologies benefit fundamental problems in computer vision and graphics.

If you'd like to collaborate with me for publishing top-tier papers, please feel free to drop me an email.

News!

[09/2024] Check our exploration on ``how video diffusion models benefit 3D vision'': DepthCrafter, StereoCrafter, and ViewCrafter

[07/2024] Four papers accepted to ECCV'24.

[05/2024] Invited talk by NeRF/GS & Beyond about Anti-Aliasing in Neural Rendering. [Slides]

[04/2024] Invited talk by China3DV 2024 about Anti-Aliasing in Neural Rendering.

[03/2024] One paper conditionally accepted to SIGGRAPH'24.

[02/2024] One paper accepted to CVPR'24.

[10/2023] Our Tri-MipRF was selected in ICCV'23 Best Paper Finalist!

Selected, full list on Google Scholar
(*equal contribution, †corresponding author)

DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos
Wenbo Hu* †, Xiangjun Gao*, Xiaoyu Li* †, Sijie Zhao, Xiaodong Cun, Yong Zhang, Long Quan, Ying Shan
arXiv preprint, 2024.
[ Project ]   [ Paper ]   [ Code ]  
StereoCrafter: Diffusion-based Generation of Long and High-fidelity Stereoscopic 3D from Monocular Videos
Sijie Zhao*, Wenbo Hu*, Xiaodong Cun*, Yong Zhang†, Xiaoyu Li†, Zhe Kong, Xiangjun Gao, Muyao Niu, Ying Shan
arXiv preprint, 2024. [ Project ]   [ Paper ]  
ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis
Wangbo Yu*, Jinbo Xing*, Li Yuan*, Wenbo Hu†, Xiaoyu Li, Zhipeng Huang, Xiangjun Gao, Tien-Tsin Wong, Ying Shan, Yonghong Tian†
arXiv preprint, 2024.
[ Project ]   [ Paper ]   [ Video ]   [ Code ]   [ Demo ]  
Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting
Zheng Zhang, Wenbo Hu†, Yixing Lao, Tong He, Hengshuang Zhao†
European Conference on Computer Vision (ECCV), 2024.
[ Project ]   [ Paper ]   [ Code ]  
Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration
Zhihao Liang, Qi Zhang, Wenbo Hu, Lei Zhu, Ying Feng, Kui Jia
European Conference on Computer Vision (ECCV), 2024.   Oral Presentation
[ Project ]   [ Paper ]   [ Code ]  
Texture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting Editing
Tian-Xing Xu, Wenbo Hu†, Yu-Kun Lai, Ying Shan, Song-Hai Zhang†
European Conference on Computer Vision (ECCV), 2024.
[ Project ]   [ Paper ]   [ Code ]  
Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic Solids
Junchen Liu*, Wenbo Hu*, Zhuo Yang*, Jianteng Chen, Guoliang Wang, Xiaoxue Chen, Yantong Cai, Huan-ang Gao, Hao Zhao
SIGGRAPH 2024
[ Project ]   [ Paper ]   [ Code ]   [ Data ]  
Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields
Haoyuan Wang, Wenbo Hu†, Lei Zhu, Rynson W.H. Lau†
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[ Project ]   [ Paper ]   [ Code ]   [ Data ]  
Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields
Wenbo Hu, Yuling Wang, Lin Ma, Bangbang Yang, Lin Gao, Xiao Liu, Yuewen Ma
IEEE International Conference on Computer Vision (ICCV), 2023.   Oral Presentation
[ Project ]   [ Paper ]   [ Code ]   Best paper finalist (17/8260)
Scale-arbitrary Invertible Image Downscaling
Jinbo Xing*, Wenbo Hu*, Menghan Xia, Tien-Tsin Wong
IEEE Transactions on Image Processing (TIP), 2023.
[ Project ]   [ Paper ]   [ Code ]  
Disentangled Image Colorization via Global Anchors
Menghan Xia, Wenbo Hu, Tien-Tsin Wong, Jue Wang
ACM Transactions on Graphics (TOG), 2022.   SIGGRAPH Asia Journal Track
[ Project ]   [ Paper ]   [ Code ]  
Deep Halftoning with Reversible Binary Pattern
Menghan Xia, Wenbo Hu, Xueting Liu, Tien-Tsin Wong
IEEE International Conference on Computer Vision (ICCV), 2021.
[ Project ]   [ Paper ]   [ Code ]  
Conditional Directed Graph Convolution for 3D Human Pose Estimation
Wenbo Hu, Changgong Zhang, Fangneng Zhan, Lei Zhang, Tien-Tsin Wong
ACM International Conference on Multimedia (ACM MM), 2021.
[ Project ]   [ Paper ]  
Bidirectional Projection Network for Cross Dimensional Scene Understanding
Wenbo Hu, Hengshuang Zhao, Li Jiang, Jiaya Jia, Tien-Tsin Wong
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.   Oral Presentation
[ Project ]   [ Paper ]   [ Code ]  
Mononizing Binocular Videos
Wenbo Hu, Menghan Xia, Chi-Wing Fu, Tien-Tsin Wong
ACM Transactions on Graphics (TOG), 2020.   SIGGRAPH Asia
[ Project ]   [ Paper ]   [ Code ]  

Education

Aug. 2018 - May. 2022

  The Chinese University of Hong Kong
  Dept of Computer Science & Engineering
Ph.D.

Sep. 2014 - Jun. 2018

  Dalian University of Technology
  Dept of Computer Science and Technology
Bachelor (Rank: 3/105, GPA: 90.3/100)





Work Experience

Dec. 2023 - Present

Tencent AI Lab
Researcher at CVC

Sep. 2022 - Nov. 2023

PICO Mixed Reality, ByteDance
Researcher & Developer

Nov. 2021 - May. 2022

Tencent AI Lab
Research Intern

Sep. 2020 - Nov. 2021

DAMO Academy, Alibaba Group
Research Intern

Jan. 2018 - Jul. 2018

SenseTime
Research Intern

Jul. 2016 - Sep. 2016

DJI
Summer Intern

Patents