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.

Publications

Neural BRDF Importance Sampling by Reparameterization

Liwen Wu, Sai Bi, Zexiang Xu, Hao Tan, Kai Zhang, Fujun Luan, Haolin Lu, Ravi Ramamoorthi

SIGGRAPH 2025

Paper Code

Position-Normal Manifold for Efficient Glint Rendering on High-Resolution Normal Maps

Liwen Wu, Fujun Luan, Miloš Hašan, Ravi Ramamoorthi

SIGGRAPH 2025

Paper Code Video

BSDF importance sampling using a diffusion model

Ziyang Fu, Yash Belhe, Haolin Lu, Liwen Wu, Bing Xu, Tzu-Mao Li

SIGGRAPH Asia 2024

Paper Code Video

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)

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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

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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)

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Neusample: Importance Sampling for Neural Materials

Bing Xu, Liwen Wu, Miloš Hašan, Fujun Luan, Iliyan Georgiev, Zexiang Xu, Ravi Ramamoorthi

SIGGRAPH 2023

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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)

Paper Code