Bio

Hi! I'm Chih-Hao Lin (林志皓), a third year Ph.D. student in Computer Science at UIUC, where I'm advised by Prof. Shenlong Wang. I have the privilege of collaborating closely with Prof. Wei-Chiu Ma, Prof. Jia-Bin Huang, and Prof. David Forsyth. Before joining UIUC, I earned my Bachelor's and Master's degree from National Taiwan University, and was advised by Prof. Yu-Chiang Frank Wang. My research interests lie at the intersection of 3D vision, neural rendering, and simulation. My long-term goal is to develop digital tools that empower individuals to tell their own stories in innovative and efficient ways.

News

Oct. 2025
HoloScene is accepted to NeurIPS 2025.
Jun. 2025
WeatherWeaver and InvRGB+L are accepted to ICCV 2025.
Feb. 2025
IRIS and DiffusionRenderer are accepted to CVPR 2025.
Jan. 2025
I changed the spelling of my name from "Zhi-Hao Lin" to "Chih-Hao Lin".
Dec. 2024
UrbanIR and AutoVFX are accepted to 3DV 2025.
Feb. 2024
Video2Game is accepted to CVPR 2024.
Sep. 2023
Sim-on-Wheels is accepted to RA-L 2023.
Jul. 2023
ClimateNeRF is accepted to ICCV 2023.
Aug. 2022
Start the PhD journey at UIUC! 🌽

Publications

HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video
NeurIPS 2025
Hongchi Xia, Chih-Hao Lin, Hao-Yu Hsu, Quentin Leboutet,
Katelyn Gao, Michael Paulitsch, Benjamin Ummenhofer, Shenlong Wang,
Controllable Weather Synthesis and Removal with Video Diffusion Models
ICCV 2025
Chih-Hao Lin, Zian Wang, Ruofan Liang, Yuxuan Zhang,
Sanja Fidler, Shenlong Wang, Zan Gojcic
InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling
ICCV 2025
Xiaoxue Chen, Bhargav Chandaka, Chih-Hao Lin, Ya-Qin Zhang,
David Forsyth, Hao Zhao, Shenlong Wang
IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images
CVPR 2025
Chih-Hao Lin, Jia-Bin Huang, Zhengqin Li, Zhao Dong, Christian Richardt,
Tuotuo Li, Michael Zollhöfer, Johannes Kopf, Shenlong Wang Changil Kim,
DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models
CVPR 2025
Ruofan Liang, Zan Gojcic, Huan Ling, Jacob Munkberg, Jon Hasselgren, Chih-Hao Lin,
Jun Gao, Alex Keller, Nandita Vijaykumar, Sanja Fidler, Zian Wang
AutoVFX: Physically Realistic Video Editing from Natural Language Instruction
3DV 2025
Hao-Yu Hsu, Chih-Hao Lin, Albert Zhai, Hongchi Xia, Shenlong Wang
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video
3DV 2025
Chih-Hao Lin, Bohan Liu, Yi-Ting Chen, Kuan-Sheng Chen,
David Forsyth, Jia-Bin Huang, Anand Bhattad, Shenlong Wang
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video
CVPR 2024
Hongchi Xia, Zhi-Hao Lin, Wei-Chiu Ma, Shenlong Wang
ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field
ICCV 2023
Yuan Li\(^*\), Zhi-Hao Lin\(^*\), David Forsyth, Jia-Bin Huang, Shenlong Wang
(\(^*\) Equal Contribution)
Sim-on-Wheels: Physical World in the Loop Simulation for Autonomous Driving
Robotics and Automation Letters (RA-L), 2023
Yuan Shen\(^*\) Bhargav Chandaka\(^*\), Zhi-Hao Lin, Albert Zhai, Hang Cui, David Forsyth, Shenlong Wang
NeuMips: Neural Mixture of Planar Experts for View Synthesis
CVPR 2022
Zhi-Hao Lin, Wei-Chiu Ma\(^*\), Hao-Yu Hsu\(^*\), Yu-Chiang Frank Wang, Shenlong Wang
Learning of 3D Graph Convolution Networks for Point Cloud Analysis
TPAMI 2021
Zhi-Hao Lin, Sheng-Yu Huang, Yu-Chiang Frank Wang
Convolution in the Cloud: Learning Deformable Kernels
in 3D Graph Convolution Networks for Point Cloud Analysis
CVPR 2020
Zhi-Hao Lin, Sheng-Yu Huang, Yu-Chiang Frank Wang

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