Liwen Wu

I am a CSE PhD student at UCSD, advised by Professor Ravi Ramamoorthi. Previously, I obtained my MS and BS degree in CS from UIUC, advised by Professor David Forsyth.

My research lies in the area of computer graphics and 3D vision. Especially, I am interests in neural rendering, inverse rendering, (neural) appearance modeling, and 3D reconstruction.

Email / Github / Scholar

Publications

BSDF importance sampling using a diffusion model
Ziyang Fu, Yash Belhe, Haolin Lu, Liwen Wu, Bing Xu, Tzu-Mao Li
SIGGRAPH Asia 2024

Neural directional encoding for efficient and accurate view-dependent appearance modeling
Liwen Wu, Sai Bi, Zexiang Xu, Fujun Luan, Kai Zhang, Iliyan Georgiev, Kalyan Sunkavalli, Ravi Ramamoorthi
CVPR 2024 (Spotlight) (Final score 5,5,5)

OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects
Isabella Liu^*, Linghao Chen^*, Ziyang Fu, Liwen Wu, Haian Jin, Zhong Li, Chin Ming Ryan Wong, Yi Xu, Ravi Ramamoorthi, Zexiang Xu, Hao Su
NeurIPS 2023

Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation
Liwen Wu^*, Rui Zhu^*, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi
ICCV 2023 (Oral)

Neusample: Importance Sampling for Neural Materials
Bing Xu, Liwen Wu, Miloš Hašan, Fujun Luan, Iliyan Georgiev, Zexiang Xu, Ravi Ramamoorthi
SIGGRAPH 2023

DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering
Liwen Wu, Jae Yong Lee, Anand Bhattad, Yuxiong Wang, David A. Forsyth
CVPR 2022 (Oral) (Best paper finalist)