Bayesian online regression for adaptive direct illumination sampling-Reference-Cited by-同舟云学术

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Bayesian online regression for adaptive direct illumination sampling

Published:2018-08-31 Issue:4 Volume:37 Page:1-12
ISSN:0730-0301
Container-title:ACM Transactions on Graphics
language:en
Short-container-title:ACM Trans. Graph.

Author:

Vévoda Petr¹,Kondapaneni Ivo²,Křivánek Jaroslav¹

Affiliation:

1. Charles University

2. Charles University, Prague

Funder

Grantová Agentura, Univerzita Karlova

Grantová Agentura České Republiky

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Link

https://dl.acm.org/doi/pdf/10.1145/3197517.3201340

Reference43 articles.

1. Probabilistic Visibility Evaluation for Direct Illumination

2. Bayesian Collaborative Denoising for Monte Carlo Rendering

3. A Bayesian Monte Carlo Approach to Global Illumination

4. Caustic Forecasting: Unbiased Estimation of Caustic Lighting for Global Illumination

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