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

Jun. 2025
Our papers "WeatherWeaver" and "InvRGB+L" are accepted to ICCV 2025.
Feb. 2025
Our papers "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
Our papers "UrbanIR" and "AutoVFX" are accepted to 3DV 2025.
Feb. 2024
Our paper "Video2Game" is accepted to CVPR 2024.
Sep. 2023
Our paper "Sim-on-Wheels" is accepted to RA-L 2023.
Jul. 2023
Our paper "ClimateNeRF" is accepted to ICCV 2023.
Aug. 2022
Start the PhD journey at UIUC! 🌽

Publications

Controllable Weather Synthesis and Removal with Video Diffusion Models
ICCV 2025
IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images
CVPR 2025
DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models
CVPR 2025
AutoVFX: Physically Realistic Video Editing from Natural Language Instruction
3DV 2025
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video
3DV 2025
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video
CVPR 2024
ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field
ICCV 2023
(\(^*\) Equal Contribution)
Sim-on-Wheels: Physical World in the Loop Simulation for Autonomous Driving
Robotics and Automation Letters (RA-L), 2023
NeuMips: Neural Mixture of Planar Experts for View Synthesis
CVPR 2022
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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