DMCR-GAN: Adversarial Denoising for Monte Carlo Renderings with Residual Attention Networks and Hierarchical Features Modulation of Auxiliary Buffers-Reference-Cited by-同舟云学术

DMCR-GAN: Adversarial Denoising for Monte Carlo Renderings with Residual Attention Networks and Hierarchical Features Modulation of Auxiliary Buffers

Published:2020-11-17 Issue: Volume: Page:
ISSN:
Container-title:SIGGRAPH Asia 2020 Technical Communications
language:
Short-container-title:

Author:

Lu YiFan¹,Xie Ning¹,Shen Heng Tao¹

Affiliation:

1. Center for Future Media University of Electronic Science and Technology of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3410700.3425426

Reference10 articles.

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

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

3. Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672–2680. Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672–2680.

4. Ishaan Gulrajani Faruk Ahmed Martin Arjovsky Vincent Dumoulin and Aaron C Courville. 2017. Improved training of wasserstein gans. In Advances in neural information processing systems. 5767–5777. Ishaan Gulrajani Faruk Ahmed Martin Arjovsky Vincent Dumoulin and Aaron C Courville. 2017. Improved training of wasserstein gans. In Advances in neural information processing systems. 5767–5777.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A denoising model for MC rendered images based on fusion kernel prediction and generation of adversarial networks;Fourth International Conference on Computer Vision and Data Mining (ICCVDM 2023);2024-02-19

2. Interactive neural cascade denoising for 1-spp Monte Carlo images;The Visual Computer;2023-07-12

3. FoVolNet: Fast Volume Rendering using Foveated Deep Neural Networks;IEEE Transactions on Visualization and Computer Graphics;2023-01

4. DGAN-KPN: Deep Generative Adversarial Network and Kernel Prediction Network for Denoising MC Renderings;Symmetry;2022-02-16

5. Denoising Monte Carlo renderings via a multi-scale featured dual-residual GAN;The Visual Computer;2021-06-19