Tzu-Mao Li

81 papers A* 11B 2Journal 59Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Distance Marching for Generative Modeling.
CoRR
Zimo Wang, Ishit Mehta, Haolin Lu, Chung-En Sun, Ge Yan, Tsui-Wei Weng, Tzu-Mao Li
2026 J jnl
Physically Accurate Differentiable Inverse Rendering for Radio Frequency Digital Twin.
CoRR
Xingyu Chen, Xinyu Zhang, Kai Zheng, Xinmin Fang, Tzu-Mao Li, Chris Xiaoxuan Lu, Zhengxiong Li
2026 J jnl
Quadratic-Order Geodesics on Meshes.
CoRR
Yue Ruan, Albert Chern, Tzu-Mao Li, Kartic Subr, Amir Vaxman
2025 — ed.
46th Annual Conference of the European Association for Computer Graphics, Eurographics 2025 - Short Papers, London, UK, May 12-16, 2025
Eurographics (Short Papers)
Duygu Ceylan, Tzu-Mao Li
2025 J jnl
A Generalizable Light Transport 3D Embedding for Global Illumination.
CoRR
Bing Xu, Mukund Varma T., Cheng Wang, Tzu-Mao Li, Lifan Wu, Bartlomiej Wronski, Ravi Ramamoorthi, Marco Salvi
2025 J jnl
Automatic Sampling for Discontinuities in Differentiable Shaders.
ACM Trans. Graph.
Yash Belhe, Ishit Mehta, Wesley Chang, Iliyan Georgiev, Michaël Gharbi, Ravi Ramamoorthi, Tzu-Mao Li
2025 J jnl
Differentiable Light Transport with Gaussian Surfels via Adapted Radiosity for Efficient Relighting and Geometry Reconstruction.
CoRR
Kaiwen Jiang, Jia-Mu Sun, Zilu Li, Dan Wang, Tzu-Mao Li, Ravi Ramamoorthi
2025 J jnl
Differentiable Light Transport with Gaussian Surfels via Adapted Radiosity for Efficient Relighting and Geometry Reconstruction.
ACM Trans. Graph.
Kaiwen Jiang, Jia-Mu Sun, Zilu Li, Dan Wang, Tzu-Mao Li, Ravi Ramamoorthi
2025 J jnl
Gaussian Integral Linear Operators for Precomputed Graphics.
ACM Trans. Graph.
Haolin Lu, Yash Belhe, Gurprit Singh, Tzu-Mao Li, Toshiya Hachisuka
2025 A* conf
HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition.
CVPR
Zimo Wang, Cheng Wang, Taiki Yoshino, Sirui Tao, Ziyang Fu, Tzu-Mao Li
2025 J jnl
In-distribution adversarial attacks on object recognition models using gradient-free search.
Trans. Mach. Learn. Res.
Spandan Madan, Tomotake Sasaki, Hanspeter Pfister, Tzu-Mao Li, Xavier Boix
2025 — conf
Modeling and Rendering Glow Discharge.
SIGGRAPH (Conference Paper Track)
Venkataram Edavamadathil Sivaram, Ravi Ramamoorthi, Tzu-Mao Li
2025 J jnl
ReSTIR BDPT: Bidirectional ReSTIR Path Tracing with Caustics.
ACM Trans. Graph.
Trevor Hedstrom, Markus Kettunen, Daqi Lin, Chris Wyman, Tzu-Mao Li
2025 A* conf
Spectral Prefiltering of Neural Fields.
SIGGRAPH Asia
Mustafa B. Yaldiz, Ishit Mehta, Nithin Raghavan, Andreas Meuleman, Tzu-Mao Li, Ravi Ramamoorthi
2025 J jnl
Spectral Prefiltering of Neural Fields.
CoRR
Mustafa B. Yaldiz, Ishit Mehta, Nithin Raghavan, Andreas Meuleman, Tzu-Mao Li, Ravi Ramamoorthi
2025 J jnl
Transforming Unstructured Hair Strands into Procedural Hair Grooms.
ACM Trans. Graph.
Wesley Chang, Andrew L. Russell, Stephane Grabli, Matt Jen-Yuan Chiang, Christophe Hery, Doug Roble, Ravi Ramamoorthi, Tzu-Mao Li, Olivier Maury
2025 J jnl
Vector-Valued Monte Carlo Integration Using Ratio Control Variates.
ACM Trans. Graph.
Haolin Lu, Delio Vicini, Wesley Chang, Tzu-Mao Li
2024 J jnl
A Differentiable Wave Optics Model for End-to-End Computational Imaging System Optimization.
CoRR
Chi-Jui Ho, Yash Belhe, Steve Rotenberg, Ravi Ramamoorthi, Tzu-Mao Li, Nicholas Antipa
2024 A* conf
BSDF importance sampling using a diffusion model.
SIGGRAPH Asia
Ziyang Fu, Yash Belhe, Haolin Lu, Liwen Wu, Bing Xu, Tzu-Mao Li
2024 B conf
Cooperative Explanation as Rational Communication.
CogSci
Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum
2024 J jnl
Distributions for Compositionally Differentiating Parametric Discontinuities.
Proc. ACM Program. Lang.
Jesse Michel, Kevin Mu, Xuanda Yang, Sai Praveen Bangaru, Elias Rojas Collins, Gilbert Bernstein, Jonathan Ragan-Kelley, Michael Carbin, Tzu-Mao Li
2024 A* conf
Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning.
ICML
Yun-Hsuan Lien, Ping-Chun Hsieh, Tzu-Mao Li, Yu-Shuen Wang
2024 J jnl
HotSpot: Screened Poisson Equation for Signed Distance Function Optimization.
CoRR
Zimo Wang, Cheng Wang, Taiki Yoshino, Sirui Tao, Ziyang Fu, Tzu-Mao Li
2024 J jnl
Importance Sampling BRDF Derivatives.
ACM Trans. Graph.
Yash Belhe, Bing Xu, Sai Praveen Bangaru, Ravi Ramamoorthi, Tzu-Mao Li
2024 A* conf
Markov-Chain Monte Carlo Sampling of Visibility Boundaries for Differentiable Rendering.
SIGGRAPH Asia
Peiyu Xu, Sai Praveen Bangaru, Tzu-Mao Li, Shuang Zhao
2024 — conf
Neural Geometry Fields For Meshes.
SIGGRAPH (Conference Paper Track)
Venkataram Edavamadathil Sivaram, Tzu-Mao Li, Ravi Ramamoorthi
2024 J jnl
Real-Time Path Guiding Using Bounding Voxel Sampling.
ACM Trans. Graph.
Haolin Lu, Wesley Chang, Trevor Hedstrom, Tzu-Mao Li
2024 J jnl
Residual path integrals for re-rendering.
Comput. Graph. Forum
Bing Xu, Tzu-Mao Li, Iliyan Georgiev, Trevor Hedstrom, Ravi Ramamoorthi
2024 J jnl
Residual path integrals for re-rendering.
CoRR
Bing Xu, Tzu-Mao Li, Iliyan Georgiev, Trevor Hedstrom, Ravi Ramamoorthi
2024 A* conf
Spatiotemporal Bilateral Gradient Filtering for Inverse Rendering.
SIGGRAPH Asia
Wesley Chang, Xuanda Yang, Yash Belhe, Ravi Ramamoorthi, Tzu-Mao Li
2024 J jnl
Temporally Stable Metropolis Light Transport Denoising using Recurrent Transformer Blocks.
ACM Trans. Graph.
Chuhao Chen, Yuze He, Tzu-Mao Li
2024 J jnl
WatChat: Explaining perplexing programs by debugging mental models.
CoRR
Kartik Chandra, Tzu-Mao Li, Rachit Nigam, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
2023 — conf
Acting as Inverse Inverse Planning.
SIGGRAPH (Conference Paper Track)
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
2023 J jnl
Acting as Inverse Inverse Planning.
CoRR
Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley
2023 J jnl
Differentiable Visual Computing for Inverse Problems and Machine Learning.
CoRR
Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai
2023 J jnl
Differentiable visual computing for inverse problems and machine learning.
Nat. Mac. Intell.
Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai
2023 J jnl
Discontinuity-Aware 2D Neural Fields.
ACM Trans. Graph.
Yash Belhe, Michaël Gharbi, Matthew Fisher, Iliyan Georgiev, Ravi Ramamoorthi, Tzu-Mao Li
2023 A* conf
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation.
ICCV
Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi
2023 J jnl
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation.
CoRR
Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi
2023 J jnl
Importance Sampling BRDF Derivatives.
CoRR
Yash Belhe, Bing Xu, Sai Praveen Bangaru, Ravi Ramamoorthi, Tzu-Mao Li
2023 A* conf
Inferring the Future by Imagining the Past.
NeurIPS
Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum
2023 J jnl
Inferring the Future by Imagining the Past.
CoRR
Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Joshua B. Tenenbaum
2023 J jnl
Neural Free-Viewpoint Relighting for Glossy Indirect Illumination.
Comput. Graph. Forum
Nithin Raghavan, Yan Xiao, Kai-En Lin, Tiancheng Sun, Sai Bi, Zexiang Xu, Tzu-Mao Li, Ravi Ramamoorthi
2023 J jnl
Neural Free-Viewpoint Relighting for Glossy Indirect Illumination.
CoRR
Nithin Raghavan, Yan Xiao, Kai-En Lin, Tiancheng Sun, Sai Bi, Zexiang Xu, Tzu-Mao Li, Ravi Ramamoorthi
2023 — conf
Parameter-space ReSTIR for Differentiable and Inverse Rendering.
SIGGRAPH (Conference Paper Track)
Wesley Chang, Venkataram Sivaram, Derek Nowrouzezahrai, Toshiya Hachisuka, Ravi Ramamoorthi, Tzu-Mao Li
2023 J jnl
Physical Cyclic Animations.
Proc. ACM Comput. Graph. Interact. Tech.
Shiyang Jia, Stephanie Wang, Tzu-Mao Li, Albert Chern
2023 J jnl
SLANG.D: Fast, Modular and Differentiable Shader Programming.
ACM Trans. Graph.
Sai Praveen Bangaru, Lifan Wu, Tzu-Mao Li, Jacob Munkberg, Gilbert Bernstein, Jonathan Ragan-Kelley, Frédo Durand, Aaron E. Lefohn, Yong He
2023 J jnl
Storytelling as
Top. Cogn. Sci.
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
2023 B conf
Storytelling as Inverse Inverse Planning.
CogSci
Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley
2023 J jnl
Warped-Area Reparameterization of Differential Path Integrals.
ACM Trans. Graph.
Peiyu Xu, Sai Praveen Bangaru, Tzu-Mao Li, Shuang Zhao
2022 — conf
Designing Perceptual Puzzles by Differentiating Probabilistic Programs.
SIGGRAPH (Conference Paper Track)
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
2022 J jnl
Designing Perceptual Puzzles by Differentiating Probabilistic Programs.
CoRR
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
2022 A* conf
Differentiable Rendering of Neural SDFs through Reparameterization.
SIGGRAPH Asia
Sai Praveen Bangaru, Michaël Gharbi, Fujun Luan, Tzu-Mao Li, Kalyan Sunkavalli, Milos Hasan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Frédo Durand
2022 J jnl
Differentiable Rendering of Neural SDFs through Reparameterization.
CoRR
Sai Praveen Bangaru, Michaël Gharbi, Tzu-Mao Li, Fujun Luan, Kalyan Sunkavalli, Milos Hasan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Frédo Durand
2022 J jnl
Differentiable Visual Computing: Challenges and Opportunities.
IEEE Computer Graphics and Applications
Tzu-Mao Li
2022 J jnl
Searching for Fast Demosaicking Algorithms.
ACM Trans. Graph.
Karima Ma, Michaël Gharbi, Andrew Adams, Shoaib Kamil, Tzu-Mao Li, Connelly Barnes, Jonathan Ragan-Kelley
2021 — conf
Distributed and Heterogeneous SAR Backprojection with Halide.
HPEC
Connor Imes, Tzu-Mao Li, Mark Glines, Rishi Khan, John Paul Walters
2021 J jnl
Efficient automatic scheduling of imaging and vision pipelines for the GPU.
Proc. ACM Program. Lang.
Luke Anderson, Andrew Adams, Karima Ma, Tzu-Mao Li, Tian Jin, Jonathan Ragan-Kelley
2021 J jnl
Learning to cluster for rendering with many lights.
ACM Trans. Graph.
Yuchen Wang, Yu-Ting Wu, Tzu-Mao Li, Yung-Yu Chuang
2021 — conf
Multi-Resolution Shared Representative Filtering for Real-Time Depth Completion.
High Performance Graphics (Symposium Papers)
Yu-Ting Wu, Tzu-Mao Li, I-Chao Shen, Hong-Shiang Lin, Yung-Yu Chuang
2021 J jnl
Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers.
CoRR
Spandan Madan, Tomotake Sasaki, Tzu-Mao Li, Xavier Boix, Hanspeter Pfister
2021 J jnl
Systematically differentiating parametric discontinuities.
ACM Trans. Graph.
Sai Praveen Bangaru, Jesse Michel, Kevin Mu, Gilbert Bernstein, Tzu-Mao Li, Jonathan Ragan-Kelley
2020 A* conf
DiffTaichi: Differentiable Programming for Physical Simulation.
ICLR
Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand
2020 J jnl
Differentiable vector graphics rasterization for editing and learning.
ACM Trans. Graph.
Tzu-Mao Li, Michal Lukác, Michaël Gharbi, Jonathan Ragan-Kelley
2020 J jnl
Differentiating a Tensor Language.
CoRR
Gilbert Bernstein, Michael Mara, Tzu-Mao Li, Dougal Maclaurin, Jonathan Ragan-Kelley
2020 J jnl
Learning to Schedule Halide Pipelines for the GPU.
CoRR
Luke Anderson, Andrew Adams, Karima Ma, Tzu-Mao Li, Jonathan Ragan-Kelley
2020 — conf
Physics-based differentiable rendering: from theory to implementation.
SIGGRAPH Courses
Shuang Zhao, Wenzel Jakob, Tzu-Mao Li
2020 J jnl
Unbiased warped-area sampling for differentiable rendering.
ACM Trans. Graph.
Sai Praveen Bangaru, Tzu-Mao Li, Frédo Durand
2019 J jnl
DiffTaichi: Differentiable Programming for Physical Simulation.
CoRR
Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand
2019 J jnl
Differentiable Visual Computing.
CoRR
Tzu-Mao Li
2019 A* conf
Inverse Path Tracing for Joint Material and Lighting Estimation.
CVPR
Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, Matthias Nießner
2019 J jnl
Inverse Path Tracing for Joint Material and Lighting Estimation.
CoRR
Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, Matthias Nießner
2019 J jnl
Learning to optimize halide with tree search and random programs.
ACM Trans. Graph.
Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley
2019 J jnl
Sample-based Monte Carlo denoising using a kernel-splatting network.
ACM Trans. Graph.
Michaël Gharbi, Tzu-Mao Li, Miika Aittala, Jaakko Lehtinen, Frédo Durand
2019 J jnl
Taichi: a language for high-performance computation on spatially sparse data structures.
ACM Trans. Graph.
Yuanming Hu, Tzu-Mao Li, Luke Anderson, Jonathan Ragan-Kelley, Frédo Durand
2018 J jnl
Differentiable Monte Carlo ray tracing through edge sampling.
ACM Trans. Graph.
Tzu-Mao Li, Miika Aittala, Frédo Durand, Jaakko Lehtinen
2018 J jnl
Differentiable programming for image processing and deep learning in halide.
ACM Trans. Graph.
Tzu-Mao Li, Michaël Gharbi, Andrew Adams, Frédo Durand, Jonathan Ragan-Kelley
2017 J jnl
Aether: an embedded domain specific sampling language for Monte Carlo rendering.
ACM Trans. Graph.
Luke Anderson, Tzu-Mao Li, Jaakko Lehtinen, Frédo Durand
2015 J jnl
Anisotropic Gaussian mutations for metropolis light transport through Hessian-Hamiltonian dynamics.
ACM Trans. Graph.
Tzu-Mao Li, Jaakko Lehtinen, Ravi Ramamoorthi, Wenzel Jakob, Frédo Durand
2015 J jnl
Dual-Matrix Sampling for Scalable Translucent Material Rendering.
IEEE Trans. Vis. Comput. Graph.
Yu-Ting Wu, Tzu-Mao Li, Yu-Hsun Lin, Yung-Yu Chuang
2012 J jnl
SURE-based optimization for adaptive sampling and reconstruction.
ACM Trans. Graph.
Tzu-Mao Li, Yu-Ting Wu, Yung-Yu Chuang