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Learning to Importance Sample in Primary Sample Space
v1v2 (latest)

Learning to Importance Sample in Primary Sample Space

23 August 2018
Q. Zheng
Matthias Zwicker
ArXiv (abs)PDFHTML

Papers citing "Learning to Importance Sample in Primary Sample Space"

10 / 10 papers shown
Title
Neural Path Guiding with Distribution Factorization
Neural Path Guiding with Distribution Factorization
Pedro Figueiredo
Qihao He
Nima Khademi Kalantari
OOD
38
0
0
01 Jun 2025
Regression-based Monte Carlo Integration
Regression-based Monte Carlo Integration
Corentin Salaün
Adrien Gruson
Binh-Son Hua
T. Hachisuka
Gurprit Singh
38
6
0
14 Nov 2022
Path Guiding Using Spatio-Directional Mixture Models
Path Guiding Using Spatio-Directional Mixture Models
Ana Dodik
Marios Papas
Cengiz Öztireli
Thomas Müller
72
18
0
25 Nov 2021
Dynamic Diffuse Global Illumination Resampling
Dynamic Diffuse Global Illumination Resampling
Z. Majercik
Thomas Müller
A. Keller
Derek Nowrouzezahrai
M. McGuire
46
15
0
11 Aug 2021
Neural Radiosity
Neural Radiosity
Saeed Hadadan
Shuhong Chen
Matthias Zwicker
57
44
0
26 May 2021
Neural BRDF Representation and Importance Sampling
Neural BRDF Representation and Importance Sampling
Alejandro Sztrajman
G. Rainer
Tobias Ritschel
Tim Weyrich
38
60
0
11 Feb 2021
Neural Control Variates
Neural Control Variates
Thomas Müller
Fabrice Rousselle
Jan Novák
A. Keller
BDL
107
56
0
02 Jun 2020
Survey: Machine Learning in Production Rendering
Survey: Machine Learning in Production Rendering
Shilin Zhu
3DVAI4CE
21
1
0
26 May 2020
Neural Importance Sampling
Neural Importance Sampling
Thomas Müller
Brian McWilliams
Fabrice Rousselle
Markus Gross
Jan Novák
100
365
0
11 Aug 2018
Integral Equations and Machine Learning
Integral Equations and Machine Learning
A. Keller
Ken Dahm
72
12
0
17 Dec 2017
1