Kernel-predicting convolutional networks for denoising Monte Carlo renderings-Reference-Cited by-同舟云学术

Kernel-predicting convolutional networks for denoising Monte Carlo renderings

Published:2017-07-20 Issue:4 Volume:36 Page:1-14
ISSN:0730-0301
Container-title:ACM Transactions on Graphics
language:en
Short-container-title:ACM Trans. Graph.

Author:

Bako Steve¹,Vogels Thijs²,Mcwilliams Brian³,Meyer Mark⁴,NováK Jan³,Harvill Alex⁴,Sen Pradeep¹,Derose Tony⁴,Rousselle Fabrice³

Affiliation:

1. University of California

2. ETH Zürich & Disney Research

3. Disney Research

4. Pixar Animation Studios

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Link

https://dl.acm.org/doi/pdf/10.1145/3072959.3073708

Reference44 articles.

1. Martín Abadi Ashish Agarwal Paul Barham and others. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. (2015). http://tensorflow.org/Softwareavailablefromtensorflow.org. Martín Abadi Ashish Agarwal Paul Barham and others. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. (2015). http://tensorflow.org/Softwareavailablefromtensorflow.org.

2. Guided Image Filtering for Interactive High-quality Global Illumination

3. Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings

Cited by 143 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. MCNeRF: Monte Carlo Rendering and Denoising for Real-Time NeRFs;SIGGRAPH Asia 2023 Conference Papers;2023-12-10

2. FuseSR: Super Resolution for Real-time Rendering through Efficient Multi-resolution Fusion;SIGGRAPH Asia 2023 Conference Papers;2023-12-10

3. Input-Dependent Uncorrelated Weighting for Monte Carlo Denoising;SIGGRAPH Asia 2023 Conference Papers;2023-12-10

4. Monte Carlo Denoising via Multi-scale Auxiliary Feature Fusion Guided Transformer;SIGGRAPH Asia 2023 Technical Communications;2023-11-28

5. Image inpainting based on double joint predictive filtering and Wasserstein generative adversarial networks;Journal of Electronic Imaging;2023-11-15