2 citations · 2 across the 3 of their papers we have counts for
3 papers
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.AI2016★ 2 cited
Exploration for Multi-task Reinforcement Learning with Deep Generative Models
Sai Praveen Bangaru, JS Suhas, Balaraman Ravindran
Exploration in multi-task reinforcement learning is critical in training agents to deduce the underlying MDP. Many of the existing exploration frameworks such as , ,…