Tzu-Mao Li

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 50

Top Topics

Light Transport

Anisotropic Gaussian

Top Venues

ACM Trans. Graph.

SIGGRAPH (Conference Paper Track)

Proc. ACM Program. Lang.

Publications

Kartik Chandra, Tzu-Mao Li, Rachit Nigam, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
WatChat: Explaining perplexing programs by debugging mental models. CoRR (2024)
Venkataram Edavamadathil Sivaram, Tzu-Mao Li, Ravi Ramamoorthi
Neural Geometry Fields For Meshes. SIGGRAPH (Conference Paper Track) (2024)
Jesse Michel, Kevin Mu, Xuanda Yang, Sai Praveen Bangaru, Elias Rojas Collins, Gilbert Bernstein, Jonathan Ragan-Kelley, Michael Carbin, Tzu-Mao Li
Distributions for Compositionally Differentiating Parametric Discontinuities. Proc. ACM Program. Lang. 8 (OOPSLA1) (2024)
Bing Xu, Tzu-Mao Li, Iliyan Georgiev, Trevor Hedstrom, Ravi Ramamoorthi
Residual path integrals for re-rendering. CoRR (2024)
Bing Xu, Tzu-Mao Li, Iliyan Georgiev, Trevor Hedstrom, Ravi Ramamoorthi
Residual path integrals for re-rendering. Comput. Graph. Forum 43 (4) (2024)
Wesley Chang, Venkataram Sivaram, Derek Nowrouzezahrai, Toshiya Hachisuka, Ravi Ramamoorthi, Tzu-Mao Li
Parameter-space ReSTIR for Differentiable and Inverse Rendering. SIGGRAPH (Conference Paper Track) (2023)
Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum
Inferring the Future by Imagining the Past. NeurIPS (2023)
Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation. ICCV (2023)
Yash Belhe, Michaël Gharbi, Matthew Fisher, Iliyan Georgiev, Ravi Ramamoorthi, Tzu-Mao Li
Discontinuity-Aware 2D Neural Fields. ACM Trans. Graph. 42 (6) (2023)
Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai
Differentiable Visual Computing for Inverse Problems and Machine Learning. CoRR (2023)
Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Joshua B. Tenenbaum
Inferring the Future by Imagining the Past. CoRR (2023)
Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation. CoRR (2023)
Sai Praveen Bangaru, Lifan Wu, Tzu-Mao Li, Jacob Munkberg, Gilbert Bernstein, Jonathan Ragan-Kelley, Frédo Durand, Aaron E. Lefohn, Yong He
SLANG.D: Fast, Modular and Differentiable Shader Programming. ACM Trans. Graph. 42 (6) (2023)
Nithin Raghavan, Yan Xiao, Kai-En Lin, Tiancheng Sun, Sai Bi, Zexiang Xu, Tzu-Mao Li, Ravi Ramamoorthi
Neural Free-Viewpoint Relighting for Glossy Indirect Illumination. Comput. Graph. Forum 42 (4) (2023)
Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai
Differentiable visual computing for inverse problems and machine learning. Nat. Mac. Intell. 5 (11) (2023)
Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley
Acting as Inverse Inverse Planning. CoRR (2023)
Peiyu Xu, Sai Praveen Bangaru, Tzu-Mao Li, Shuang Zhao
Warped-Area Reparameterization of Differential Path Integrals. ACM Trans. Graph. 42 (6) (2023)
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
Inverse Planning. Top. Cogn. Sci. 16 (1) (2023)
Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley
Storytelling as Inverse Inverse Planning. CogSci (2023)
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
Acting as Inverse Inverse Planning. SIGGRAPH (Conference Paper Track) (2023)
Nithin Raghavan, Yan Xiao, Kai-En Lin, Tiancheng Sun, Sai Bi, Zexiang Xu, Tzu-Mao Li, Ravi Ramamoorthi
Neural Free-Viewpoint Relighting for Glossy Indirect Illumination. CoRR (2023)
Shiyang Jia, Stephanie Wang, Tzu-Mao Li, Albert Chern
Physical Cyclic Animations. Proc. ACM Comput. Graph. Interact. Tech. 6 (3) (2023)
Yash Belhe, Bing Xu, Sai Praveen Bangaru, Ravi Ramamoorthi, Tzu-Mao Li
Importance Sampling BRDF Derivatives. CoRR (2023)
Karima Ma, Michaël Gharbi, Andrew Adams, Shoaib Kamil, Tzu-Mao Li, Connelly Barnes, Jonathan Ragan-Kelley
Searching for Fast Demosaicking Algorithms. ACM Trans. Graph. 41 (5) (2022)
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
Designing Perceptual Puzzles by Differentiating Probabilistic Programs. SIGGRAPH (Conference Paper Track) (2022)
Sai Praveen Bangaru, Michaël Gharbi, Tzu-Mao Li, Fujun Luan, Kalyan Sunkavalli, Milos Hasan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Frédo Durand
Differentiable Rendering of Neural SDFs through Reparameterization. CoRR (2022)
Tzu-Mao Li
Differentiable Visual Computing: Challenges and Opportunities. IEEE Computer Graphics and Applications 42 (2) (2022)
Sai Praveen Bangaru, Michaël Gharbi, Fujun Luan, Tzu-Mao Li, Kalyan Sunkavalli, Milos Hasan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Frédo Durand
Differentiable Rendering of Neural SDFs through Reparameterization. SIGGRAPH Asia (2022)
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
Designing Perceptual Puzzles by Differentiating Probabilistic Programs. CoRR (2022)
Luke Anderson, Andrew Adams, Karima Ma, Tzu-Mao Li, Tian Jin, Jonathan Ragan-Kelley
Efficient automatic scheduling of imaging and vision pipelines for the GPU. Proc. ACM Program. Lang. 5 (OOPSLA) (2021)
Yu-Chen Wang, Yu-Ting Wu, Tzu-Mao Li, Yung-Yu Chuang
Learning to cluster for rendering with many lights. ACM Trans. Graph. 40 (6) (2021)
Spandan Madan, Tomotake Sasaki, Tzu-Mao Li, Xavier Boix, Hanspeter Pfister
Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers. CoRR (2021)
Connor Imes, Tzu-Mao Li, Mark Glines, Rishi Khan, John Paul Walters
Distributed and Heterogeneous SAR Backprojection with Halide. HPEC (2021)
Sai Praveen Bangaru, Jesse Michel, Kevin Mu, Gilbert Bernstein, Tzu-Mao Li, Jonathan Ragan-Kelley
Systematically differentiating parametric discontinuities. ACM Trans. Graph. 40 (4) (2021)
Luke Anderson, Andrew Adams, Karima Ma, Tzu-Mao Li, Jonathan Ragan-Kelley
Learning to Schedule Halide Pipelines for the GPU. CoRR (2020)
Sai Praveen Bangaru, Tzu-Mao Li, Frédo Durand
Unbiased warped-area sampling for differentiable rendering. ACM Trans. Graph. 39 (6) (2020)
Shuang Zhao, Wenzel Jakob, Tzu-Mao Li
Physics-based differentiable rendering: from theory to implementation. SIGGRAPH Courses (2020)
Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand
DiffTaichi: Differentiable Programming for Physical Simulation. ICLR (2020)
Gilbert Bernstein, Michael Mara, Tzu-Mao Li, Dougal Maclaurin, Jonathan Ragan-Kelley
Differentiating a Tensor Language. CoRR (2020)
Tzu-Mao Li, Michal Lukác, Michaël Gharbi, Jonathan Ragan-Kelley
Differentiable vector graphics rasterization for editing and learning. ACM Trans. Graph. 39 (6) (2020)
Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, Matthias Nießner
Inverse Path Tracing for Joint Material and Lighting Estimation. CVPR (2019)
Tzu-Mao Li
Differentiable Visual Computing. CoRR (2019)
Michaël Gharbi, Tzu-Mao Li, Miika Aittala, Jaakko Lehtinen, Frédo Durand
Sample-based Monte Carlo denoising using a kernel-splatting network. ACM Trans. Graph. 38 (4) (2019)
Yuanming Hu, Tzu-Mao Li, Luke Anderson, Jonathan Ragan-Kelley, Frédo Durand
Taichi: a language for high-performance computation on spatially sparse data structures. ACM Trans. Graph. 38 (6) (2019)
Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand
DiffTaichi: Differentiable Programming for Physical Simulation. CoRR (2019)
Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, Matthias Nießner
Inverse Path Tracing for Joint Material and Lighting Estimation. CoRR (2019)
Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley
Learning to optimize halide with tree search and random programs. ACM Trans. Graph. 38 (4) (2019)
Tzu-Mao Li, Miika Aittala, Frédo Durand, Jaakko Lehtinen
Differentiable Monte Carlo ray tracing through edge sampling. ACM Trans. Graph. 37 (6) (2018)
Tzu-Mao Li, Michaël Gharbi, Andrew Adams, Frédo Durand, Jonathan Ragan-Kelley
Differentiable programming for image processing and deep learning in halide. ACM Trans. Graph. 37 (4) (2018)
Luke Anderson, Tzu-Mao Li, Jaakko Lehtinen, Frédo Durand
Aether: an embedded domain specific sampling language for Monte Carlo rendering. ACM Trans. Graph. 36 (4) (2017)
Tzu-Mao Li, Jaakko Lehtinen, Ravi Ramamoorthi, Wenzel Jakob, Frédo Durand
Anisotropic Gaussian mutations for metropolis light transport through Hessian-Hamiltonian dynamics. ACM Trans. Graph. 34 (6) (2015)
Yu-Ting Wu, Tzu-Mao Li, Yu-Hsun Lin, Yung-Yu Chuang
Dual-Matrix Sampling for Scalable Translucent Material Rendering. IEEE Trans. Vis. Comput. Graph. 21 (3) (2015)
Tzu-Mao Li, Yu-Ting Wu, Yung-Yu Chuang
SURE-based optimization for adaptive sampling and reconstruction. ACM Trans. Graph. 31 (6) (2012)