Tzu-Mao Li – ACM SIGGRAPH HISTORY ARCHIVES

Tzu-Mao Li

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About Tzu-Mao Li

Affiliations

Massachusetts Institute of Technology (MIT), MIT CSAIL, Postdoctoral Researcher

Location

Cambridge, Massachusetts, United States of America

SIGGRAPH Conference Organizing Committee Positions

Conference Contributions

Learning

Technical Papers

2023 SA_Technical_Papers_Belhe_Discontinuity-Aware 2D Neural Fields
Discontinuity-Aware 2D Neural Fields
SIGGRAPH Asia 2023
[Technical Papers]
Presenter(s):
2023 SA_Technical_Papers_Bangaru_SLANG.D_Fast, Modular and Differentiable Shader Programming
SLANG.D: Fast, Modular and Differentiable Shader Programming
SIGGRAPH Asia 2023
[Technical Papers]
Presenter(s):
2023 SA_Technical_Papers_Xu_Warped-Area Reparameterization of Differential Path Integrals
Warped-Area Reparameterization of Differential Path Integrals
SIGGRAPH Asia 2023
[Technical Papers]
Presenter(s):
2022 SA Technical Papers_Bangaru_Differentiable Rendering of Neural SDFs through Reparameterization
Differentiable Rendering of Neural SDFs through Reparameterization
SIGGRAPH Asia 2022
[Technical Papers]
Presenter(s):
2021 SA Technical Papers_Wang_Learning to cluster for rendering with many lights
Learning to cluster for rendering with many lights
SIGGRAPH Asia 2021
[Technical Papers]
Presenter(s):
2020 SA Technical Papers_Li_Differentiable vector graphics rasterization for editing and learning
Differentiable vector graphics rasterization for editing and learning
SIGGRAPH Asia 2020
[Technical Papers]
Presenter(s):
2020 SA Technical Papers_Bangaru_Unbiased warped-area sampling for differentiable rendering
Unbiased warped-area sampling for differentiable rendering
SIGGRAPH Asia 2020
[Technical Papers]
Presenter(s):
2019 SA Technical Papers_Hu_Taichi: a language for high-performance computation on spatially sparse data structures
Taichi: a language for high-performance computation on spatially sparse data structures
SIGGRAPH Asia 2019
[Technical Papers]
Presenter(s):
2018 SA Technical Papers_Li_Differentiable Monte Carlo ray tracing through edge sampling
Differentiable Monte Carlo ray tracing through edge sampling
SIGGRAPH Asia 2018
[Technical Papers]
Presenter(s):
2015 SA Technical Papers_Li_Anisotropic Gaussian Mutations for Metropolis Light Transport
Anisotropic Gaussian mutations for metropolis light transport through Hessian-Hamiltonian dynamics
SIGGRAPH Asia 2015
[Technical Papers]
Presenter(s):
2012 SA Technical Papers_Li_SURE based Optimization for Adaptive Sampling and Reconstruction
SURE-based optimization for adaptive sampling and reconstruction
SIGGRAPH Asia 2012
[Technical Papers]
Presenter(s):
2024 Technical Papers: Belhe_Importance Sampling BRDF Derivatives
Importance Sampling BRDF Derivatives
SIGGRAPH 2024
[Technical Papers]
Presenter(s):
2024 Technical Papers: Sivaram_Neural Geometry Fields for Meshes
Neural Geometry Fields for Meshes
SIGGRAPH 2024
[Technical Papers]
Presenter(s):
2024 Technical Papers: Lu_Real-time Path Guiding Using Bounding Voxel Sampling
Real-time Path Guiding Using Bounding Voxel Sampling
SIGGRAPH 2024
[Technical Papers]
Presenter(s):
2024 Technical Papers: Chen_Temporally Stable Metropolis Light Transport Denoising Using Recurrent Transformer Blocks
Temporally Stable Metropolis Light Transport Denoising Using Recurrent Transformer Blocks
SIGGRAPH 2024
[Technical Papers]
Presenter(s):
2023 Technical Papers: Chandra_Acting as Inverse Inverse Planning
Acting as Inverse Inverse Planning
SIGGRAPH 2023
[Technical Papers]
Presenter(s):
2023 Technical Papers: Chang_Parameter-space ReSTIR for Differentiable and Inverse Rendering
Parameter-space ReSTIR for Differentiable and Inverse Rendering
SIGGRAPH 2023
[Technical Papers]
Presenter(s):
2021 Technical Paper: BANGARU_Systematically Differentiating Parametric Discontinuities
Systematically differentiating parametric discontinuities
SIGGRAPH 2021
[Technical Papers]
Presenter(s):
2019 Technical Paper: ADAMS_Learning to Optimize Halide with Tree Search and Random Programs
Learning to optimize halide with tree search and random programs
SIGGRAPH 2019
[Technical Papers]
Presenter(s):
2019 Technical Paper: GHARBI_Sample-based Monte Carlo Denoising using a Kernel-Splatting Network
Sample-based Monte Carlo denoising using a kernel-splatting network
SIGGRAPH 2019
[Technical Papers]
Presenter(s):
2018 Technical Paper: LI_Differentiable Programming for Image Processing and Deep Learning in Halide
Differentiable programming for image processing and deep learning in halide
SIGGRAPH 2018
[Technical Papers]
Presenter(s):
Entry #: 139
2017 Technical Paper: ANDERSON_Aether: An Embedded Domain Specific Sampling Language for MonteCarlo Rendering
Aether: an embedded domain specific sampling language for Monte Carlo rendering
SIGGRAPH 2017
[Technical Papers]
Presenter(s):

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