Path‐based Monte Carlo Denoising Using a Three‐Scale Neural Network

Author:

Lin Weiheng12,Wang Beibei12ORCID,Yang Jian12,Wang Lu3ORCID,Yan Ling‐Qi4

Affiliation:

1. School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China

2. Key Lab of Intelligent Perception and Systems for High‐Dimensional Information of Ministry of Education Nanjing China

3. School of Software Shandong University Jinan Shandong China

4. University of California Santa Barbara California USA

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Reference31 articles.

1. [AAB15] AbadiM. AgarwalA. BarhamP.:Tensorflow: Large scale machine learning on heterogeneous systems.http://tensorflow.org/ 2015.

2. Bayesian Collaborative Denoising for Monte Carlo Rendering

3. A local frequency analysis of light scattering and absorption;Belcour L.;ACM Transactions on Graphics (TOG),2014

4. [Bit] BitterliB.:Tungsten renderer.http://noobody.org/tungsten.html.

5. [Bit16] BitterliB.:Rendering resources.https://benediktbitterli.me/resources/ 2016.

Cited by 6 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. Neural Partitioning Pyramids for Denoising Monte Carlo Renderings;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings;2023-07-23

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

3. Pixel-wise Guidance for Utilizing Auxiliary Features in Monte Carlo Denoising;Proceedings of the ACM on Computer Graphics and Interactive Techniques;2023-05-12

4. Monte Carlo denoising via auxiliary feature guided self-attention;ACM Transactions on Graphics;2021-12

5. Weakly-supervised contrastive learning in path manifold for Monte Carlo image reconstruction;ACM Transactions on Graphics;2021-08-31

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3