Lessons Learned and Improvements when Building Screen-Space Samplers with Blue-Noise Error Distribution-Reference-Cited by-同舟云学术

Lessons Learned and Improvements when Building Screen-Space Samplers with Blue-Noise Error Distribution

Published:2021-07-31 Issue: Volume: Page:
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Container-title:ACM SIGGRAPH 2021 Talks
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Author:

Belcour Laurent¹,Heitz Eric¹

Affiliation:

1. Unity Technologies, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3450623.3464645

Reference5 articles.

1. Screen-space blue-noise diffusion of monte carlo sampling error via hierarchical ordering of pixels

2. Vassillen Chizhov Iliyan Georgiev Karol Myszkowski and Gurprit Singh. 2020. Perceptual error optimization for Monte Carlo rendering. arXiv preprint arXiv:2012.02344(2020). Vassillen Chizhov Iliyan Georgiev Karol Myszkowski and Gurprit Singh. 2020. Perceptual error optimization for Monte Carlo rendering. arXiv preprint arXiv:2012.02344(2020).

3. Blue-noise dithered sampling

4. A low-discrepancy sampler that distributes monte carlo errors as a blue noise in screen space

5. Weighted compound integration rules with higher order convergence for all N

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