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Tzu‐Mao Li

University of California San Diego

16H-index
65Paper Count
2.1KCitation Count
Published Papers 20
Publication Date
Stochastic Pairwise MIS for Unbiased Large-Kernel Reuse in Real-Time
err2026-04-14
err0
errOAAI
errTrevor Hedstrom; Markus Kettunen; Daqi Lin; Chris Wyman; Tzu-Mao Li
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ReSTIR BDPT: Bidirectional ReSTIR Path Tracing with Caustics
err2025-09-10
err0
PREAI
errTrevor Hedstrom; Markus Kettunen; Daqi Lin; Chris Wyman; Tzu-Mao Li
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Real-Time Path Guiding Using Bounding Voxel Sampling
err2024-07-19
err1
PREAI
errLu, Haolin; Chang, Wesley; Hedstrom, Trevor; Li, Tzu-Mao
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Importance Sampling BRDF Derivatives
err2024-04-09
err1
errOAAI
errBelhe, Yash; Xu, Bing; Bangaru, Sai Praveen; Ramamoorthi, Ravi; Li, Tzu-Mao
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Discontinuity-Aware 2D Neural Fields
err2023-12-05
err2
errOAAI
errBelhe, Yash; Gharbi, Michael; Fisher, Matthew; Georgiev, Iliyan; Ramamoorthi, Ravi; Li, Tzu-Mao
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Differentiable visual computing for inverse problems and machine learning
err2023-11-17
err2
PREAI
errSpielberg, Andrew; Zhong, Fangcheng; Rematas, Konstantinos; Jatavallabhula, Krishna Murthy; Oztireli, Cengiz; Li, Tzu-Mao; Nowrouzezahrai, Derek
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Searching for Fast Demosaicking Algorithms
err2022-05-13
err6
errOAAI
errMa, Karima; Gharbi, Michael; Adams, Andrew; Kamil, Shoaib; Li, Tzu-Mao; Barnes, Connelly; Ragan-Kelley, Jonathan
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Learning to Cluster for Rendering with Many Lights
err2021-12-10
err1
errOAAI
errWang, Yu-Chen; Wu, Yu-Ting; Li, Tzu-Mao; Chuang, Yung-Yu
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Systematically Differentiating Parametric Discontinuities
err2021-07-19
err26
errOAAI
errBangaru, Sai Praveen; Michel, Jesse; Mu, Kevin; Bernstein, Gilbert; Li, Tzu-Mao; Ragan-Kelley, Jonathan
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Differentiable Vector Graphics Rasterization for Editing and Learning
err2020-11-27
err106
errOAAI
errLi, Tzu-Mao; Lukac, Michal; Gharbi, Michael; Ragan-Kelley, Jonathan
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Unbiased Warped-Area Sampling for Differentiable Rendering
err2020-11-27
err81
errOAAI
errBangaru, Sai Praveen; Li, Tzu-Mao; Durand, Fredo
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Taichi: A Language for High-Performance Computation on Spatially Sparse Data Structures
err2019-11-08
err186
errOAAI
errHu, Yuanming; Li, Tzu-Mao; Anderson, Luke; Ragan-Kelley, Jonathan; Durand, Fredo
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Sample-based Monte Carlo Denoising using a Kernel-Splatting Network
err2019-07-12
err75
PREAI
errGharbi, Michatel; Li, Tzu-Mao; Aittala, Miika; Lehtinen, Jaakko; Durand, Fredo
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Learning to Optimize Halide with Tree Search and Random Programs
err2019-07-12
err147
PREAI
errAdams, Andrew; Ma, Karima; Anderson, Luke; Baghdad, Riyadh; Li, Tzu-Mao; Gharbi, Michael; Steiner, Benoit; Johnson, Steven; Fatahalian, Kayvon; Durand, Fredo; Ragan-Kelley, Jonathan
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Differentiable Monte Carlo Ray Tracing through Edge Sampling
err2018-12-04
err148
errOAAI
errLi, Tzu-Mao; Aittala, Miika; Durand, Fredo; Lehtinen, Jaakko
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Differentiable Programming for Image Processing and Deep Learning in Halide
err2018-07-30
err118
errOAAI
errLi, Tzu-Mao; Gharbi, Michael; Adams, Andrew; Durand, Fredo; Ragan-Kelley, Jonathan
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Aether: An Embedded Domain Specific Sampling Language for Monte Carlo Rendering
err2017-07-20
err13
errOAAI
errAnderson, Luke; Li, Tzu-Mao; Lehtinen, Jaakko; Durand, Fredo
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Anisotropic Gaussian Mutations for Metropolis Light Transport through Hessian-Hamiltonian Dynamics
err2015-11-02
err23
errOAAI
errLi, Tzu-Mao; Lehtinen, Jaakko; Ramamoorthi, Ravi; Jakob, Wenzel; Durand, Fredo
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SURE-based Optimization for Adaptive Sampling and Reconstruction
err2012-11-01
err84
errOAAI
errLi, Tzu-Mao; Wu, Yu-Ting; Chuang, Yung-Yu
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