Tzu-Mao Li
Cited by
Cited by
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
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
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
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
Differentiable vector graphics rasterization for editing and learning
TM Li, M LukŠč, M Gharbi, J Ragan-Kelley
ACM Transactions on Graphics (TOG) 39 (6), 1-15, 2020
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
SURE-based optimization for adaptive sampling and reconstruction
TM Li, YT Wu, YY Chuang
ACM Transactions on Graphics (TOG) 31 (6), 1-9, 2012
Inverse path tracing for joint material and lighting estimation
D Azinovic, TM Li, A Kaplanyan, M NieŖner
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern†…, 2019
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
Unbiased warped-area sampling for differentiable rendering
SP Bangaru, TM Li, F Durand
ACM Transactions on Graphics (TOG) 39 (6), 1-18, 2020
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
Physics-based differentiable rendering: from theory to implementation
S Zhao, W Jakob, TM Li
ACM siggraph 2020 courses, 1-30, 2020
Systematically differentiating parametric discontinuities
SP Bangaru, J Michel, K Mu, G Bernstein, TM Li, J Ragan-Kelley
ACM Transactions on Graphics (TOG) 40 (4), 1-18, 2021
Differentiable rendering of neural sdfs through reparameterization
SP Bangaru, M Gharbi, F Luan, TM Li, K Sunkavalli, M Hasan, S Bi, Z Xu, ...
SIGGRAPH Asia 2022 Conference Papers, 1-9, 2022
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
Small in-distribution changes in 3d perspective and lighting fool both cnns and transformers
S Madan, T Sasaki, TM Li, X Boix, H Pfister
arXiv preprint arXiv:2106.16198 3, 2021
Efficient automatic scheduling of imaging and vision pipelines for the GPU
L Anderson, A Adams, K Ma, TM Li, T Jin, J Ragan-Kelley
Proceedings of the ACM on Programming Languages 5 (OOPSLA), 1-28, 2021
Differentiable visual computing
arXiv preprint arXiv:1904.12228, 2019
Differentiating a tensor language
G Bernstein, M Mara, TM Li, D Maclaurin, J Ragan-Kelley
arXiv preprint arXiv:2008.11256, 2020
Designing perceptual puzzles by differentiating probabilistic programs
K Chandra, TM Li, J Tenenbaum, J Ragan-Kelley
ACM SIGGRAPH 2022 Conference Proceedings, 1-9, 2022
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Articles 1–20