Bio

Hi! I'm Zhi-Hao Lin (林志皓), a second year Ph.D. student in Computer Science at UIUC, advised by Shenlong Wang. I am fortunate to work closely with David Forsyth, Jia-Bin Huang, and Wei-Chiu Ma. Previously, I obtained my Bachelor's and Master's degree from National Taiwan University, advised by Yu-Chiang Frank Wang. My research interest lies in 3D vision and neural rendering, and the long-term goal is to enable machines to perceive and reconstruct the 3D world accurately and efficiently.

News

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

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
IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images
arXiv preprint 2024
Zhi-Hao Lin, Jia-Bin Huang, Zhengqin Li, Zhao Dong, Christian Richardt,
Tuotuo Li, Michael Zollhöfer, Johannes Kopf, Shenlong Wang Changil Kim,
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video
arXiv preprint 2023
Zhi-Hao Lin, Bohan Liu, Yi-Ting Chen, David Forsyth, Jia-Bin Huang, Anand Bhattad, 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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