Tzu-Mao Li
Tzu-Mao Li
MIT CSAIL
Bestätigte E-Mail-Adresse bei mit.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Differentiable Monte Carlo ray tracing through edge sampling
TM Li, M Aittala, F Durand, J Lehtinen
ACM Transactions on Graphics (TOG) 37 (6), 222, 2018
1372018
SURE-based optimization for adaptive sampling and reconstruction
TM Li, YT Wu, YY Chuang
ACM Transactions on Graphics (TOG) 31 (6), 1-9, 2012
1002012
Learning to optimize halide with tree search and random programs
A Adams, K Ma, L Anderson, R Baghdadi, TM Li, M Gharbi, B Steiner, ...
ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019
452019
Differentiable programming for image processing and deep learning in Halide
TM Li, M Gharbi, A Adams, F Durand, J Ragan-Kelley
ACM Transactions on Graphics (TOG) 37 (4), 139, 2018
452018
Difftaichi: Differentiable programming for physical simulation
Y Hu, L Anderson, TM Li, Q Sun, N Carr, J Ragan-Kelley, F Durand
arXiv preprint arXiv:1910.00935, 2019
412019
Anisotropic Gaussian mutations for Metropolis light transport through Hessian-Hamiltonian dynamics
TM Li, J Lehtinen, R Ramamoorthi, W Jakob, F Durand
ACM Transactions on Graphics (TOG) 34 (6), 209, 2015
352015
Inverse path tracing for joint material and lighting estimation
D Azinovic, TM Li, A Kaplanyan, M Nießner
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
332019
Sample-based Monte Carlo denoising using a kernel-splatting network
M Gharbi, TM Li, M Aittala, J Lehtinen, F Durand
ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019
242019
Taichi: a language for high-performance computation on spatially sparse data structures
Y Hu, TM Li, L Anderson, J Ragan-Kelley, F Durand
ACM Transactions on Graphics (TOG) 38 (6), 1-16, 2019
212019
Aether: An embedded domain specific sampling language for Monte Carlo rendering
L Anderson, TM Li, J Lehtinen, F Durand
ACM Transactions on Graphics (TOG) 36 (4), 1-16, 2017
132017
Differentiable visual computing
TM Li
arXiv preprint arXiv:1904.12228, 2019
52019
Differentiable vector graphics rasterization for editing and learning
TM Li, M Lukáč, M Gharbi, J Ragan-Kelley
ACM Transactions on Graphics (TOG) 39 (6), 1-15, 2020
12020
Differentiating a Tensor Language
G Bernstein, M Mara, TM Li, D Maclaurin, J Ragan-Kelley
arXiv preprint arXiv:2008.11256, 2020
12020
Physics-based differentiable rendering: from theory to implementation
S Zhao, W Jakob, TM Li
ACM SIGGRAPH 2020 Courses, 1-30, 2020
12020
Differentiable rendering pipeline for inverse graphics
T Li, M Salvi, JT Lehtinen, AE Lefohn
US Patent 10,565,747, 2020
12020
Dual-matrix sampling for scalable translucent material rendering
YT Wu, TM Li, YH Lin, YY Chuang
IEEE transactions on visualization and computer graphics 21 (3), 363-374, 2014
12014
Learning to Schedule Halide Pipelines for the GPU
L Anderson, A Adams, K Ma, TM Li, J Ragan-Kelley
arXiv preprint arXiv:2012.07145, 2020
2020
Unbiased warped-area sampling for differentiable rendering
SP Bangaru, TM Li, F Durand
ACM Transactions on Graphics (TOG) 39 (6), 1-18, 2020
2020
Joint Stein’s Unbiased Risk Estimation for Adaptive Sampling and Reconstruction
TM Li
2017
Anisotropic Gaussian mutations for metropolis light transport through Hessian-Hamiltonian dynamics
J Lehtinen, R Ramamoorthi, W Jakob, TM Li, F Durand
Association for Computing Machinery (ACM), 2015
2015
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