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Differentiable Rendering with Perturbed Optimizers

Differentiable Rendering with Perturbed Optimizers

18 October 2021
Quentin Le Lidec
Ivan Laptev
Cordelia Schmid
Justin Carpentier
ArXivPDFHTML

Papers citing "Differentiable Rendering with Perturbed Optimizers"

12 / 12 papers shown
Title
Soft Condorcet Optimization for Ranking of General Agents
Soft Condorcet Optimization for Ranking of General Agents
Marc Lanctot
Kate Larson
Michael Kaisers
Quentin Berthet
I. Gemp
Manfred Diaz
Roberto-Rafael Maura-Rivero
Yoram Bachrach
Anna Koop
Doina Precup
39
0
0
31 Oct 2024
Generalizing Stochastic Smoothing for Differentiation and Gradient
  Estimation
Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation
Felix Petersen
Christian Borgelt
Aashwin Mishra
Stefano Ermon
31
1
0
10 Oct 2024
Transforming a Non-Differentiable Rasterizer into a Differentiable One
  with Stochastic Gradient Estimation
Transforming a Non-Differentiable Rasterizer into a Differentiable One with Stochastic Gradient Estimation
Thomas Deliot
Eric Heitz
Laurent Belcour
24
6
0
15 Apr 2024
RADIUM: Predicting and Repairing End-to-End Robot Failures using
  Gradient-Accelerated Sampling
RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated Sampling
Charles Dawson
Anjali Parashar
Chuchu Fan
48
0
0
04 Apr 2024
Zero Grads: Learning Local Surrogate Losses for Non-Differentiable
  Graphics
Zero Grads: Learning Local Surrogate Losses for Non-Differentiable Graphics
Michael Fischer
Tobias Ritschel
22
2
0
10 Aug 2023
Differentiable Clustering with Perturbed Spanning Forests
Differentiable Clustering with Perturbed Spanning Forests
Lawrence Stewart
Francis R. Bach
Felipe Llinares-López
Quentin Berthet
21
8
0
25 May 2023
Plateau-reduced Differentiable Path Tracing
Plateau-reduced Differentiable Path Tracing
Michael Fischer
Tobias Ritschel
16
9
0
30 Nov 2022
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
Marin Ballu
Quentin Berthet
25
7
0
18 Nov 2022
Differentiable Collision Detection: a Randomized Smoothing Approach
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
Augmenting differentiable physics with randomized smoothing
Augmenting differentiable physics with randomized smoothing
Quentin Le Lidec
Louis Montaut
Cordelia Schmid
Ivan Laptev
Justin Carpentier
23
4
0
23 Jun 2022
GenDR: A Generalized Differentiable Renderer
GenDR: A Generalized Differentiable Renderer
Felix Petersen
Bastian Goldluecke
Christian Borgelt
Oliver Deussen
13
16
0
29 Apr 2022
Leveraging Randomized Smoothing for Optimal Control of Nonsmooth
  Dynamical Systems
Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems
Quentin Le Lidec
Fabian Schramm
Louis Montaut
Cordelia Schmid
Ivan Laptev
Justin Carpentier
25
24
0
08 Mar 2022
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