Monte Carlo denoising via auxiliary feature guided self-attention-Reference-Cited by-同舟云学术

Monte Carlo denoising via auxiliary feature guided self-attention

Published:2021-12 Issue:6 Volume:40 Page:1-13
ISSN:0730-0301
Container-title:ACM Transactions on Graphics
language:en
Short-container-title:ACM Trans. Graph.

Author:

Yu Jiaqi¹,Nie Yongwei¹,Long Chengjiang²,Xu Wenju³,Zhang Qing⁴,Li Guiqing¹

Affiliation:

1. South China University of Technology, China

2. JD Finance America Corporation

3. InnoPeak Technology Inc

4. Sun Yat-sen University, China

Funder

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Link

https://dl.acm.org/doi/pdf/10.1145/3478513.3480565

Reference67 articles.

1. Deep combiner for independent and correlated pixel estimates

2. Kernel-predicting convolutional networks for denoising Monte Carlo renderings

3. Benedikt Bitterli. 2016. Rendering resources. https://benedikt-bitterli.me/resources/. Benedikt Bitterli. 2016. Rendering resources. https://benedikt-bitterli.me/resources/.

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