activity
20192023
most citedDiffTaichi: Differentiable Programming for Physical Simulation

75 citations · 110 across the 12 of their papers we have counts for

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Showing cs.GRShow all

6 papers · 1 filter

cs.GR2023

Neural Free-Viewpoint Relighting for Glossy Indirect Illumination

Nithin Raghavan, Yan Xiao, Kai-En Lin +5

Precomputed Radiance Transfer (PRT) remains an attractive solution for real-time rendering of complex light transport effects such as glossy global illumination. After precomputati…

cs.GR2023★ 9 cited

Acting as Inverse Inverse Planning

Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum +1

Great storytellers know how to take us on a journey. They direct characters to act -- not necessarily in the most rational way -- but rather in a way that leads to interesting situ…

cs.GR2023

Importance Sampling BRDF Derivatives

Yash Belhe, Bing Xu, Sai Praveen Bangaru +2

We propose a set of techniques to efficiently importance sample the derivatives of several BRDF models. In differentiable rendering, BRDFs are replaced by their differential BRDF c…

cs.GR2022

Differentiable Rendering of Neural SDFs through Reparameterization

Sai Praveen Bangaru, Michaël Gharbi, Tzu-Mao Li +7

We present a method to automatically compute correct gradients with respect to geometric scene parameters in neural SDF renderers. Recent physically-based differentiable rendering…

cs.GR2022★ 17 cited

Designing Perceptual Puzzles by Differentiating Probabilistic Programs

Kartik Chandra, Tzu-Mao Li, Joshua Tenenbaum +1

We design new visual illusions by finding "adversarial examples" for principled models of human perception -- specifically, for probabilistic models, which treat vision as Bayesian…

cs.GR2019★ 3 cited

Differentiable Visual Computing

Tzu-Mao Li

Derivatives of computer graphics, image processing, and deep learning algorithms have tremendous use in guiding parameter space searches, or solving inverse problems. As the algori…