Zero Grads: Learning Local Surrogate Losses for Non-Differentiable Graphics

10 August 2023

Papers citing "Zero Grads: Learning Local Surrogate Losses for Non-Differentiable Graphics"

6 / 6 papers shown

Title
Locally Orderless Images for Optimization in Differentiable Rendering Ishit Mehta Manmohan Chandraker Ravi Ramamoorthi 29 0 0 27 Mar 2025
Differentiable Collision Detection: a Randomized Smoothing Approach Louis Montaut Quentin Le Lidec Antoine Bambade Vladimir Petrik Josef Sivic Justin Carpentier 38 28 0 19 Sep 2022
Dr.Jit: A Just-In-Time Compiler for Differentiable Rendering Wenzel Jakob Sébastien Speierer Nicolas Roussel Delio Vicini 32 34 0 02 Feb 2022
Bundled Gradients through Contact via Randomized Smoothing H. Suh Tao Pang Russ Tedrake 78 52 0 11 Sep 2021
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck D. Fox PINN 3DPC AI4CE 167 161 0 15 Jun 2018
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 236 438 0 01 Dec 2016