Proceedings of the ACM on computer graphics and interactive techniques最新文献_第7页

Erratics on the Road to Wigan Pier 通往威根码头的路上的流浪者

Proceedings of the ACM on computer graphics and interactive techniques Pub Date : 2022-09-06 DOI: 10.1145/3533611

Chara Lewis, K. Mojsiewicz, Anneké Pettican

引用次数: 0

In Search of the Plastic Image 寻找塑性图像

Proceedings of the ACM on computer graphics and interactive techniques Pub Date : 2022-09-06 DOI: 10.1145/3539218

Derek Holzer

引用次数: 0

A Tale of Two Productions 两部作品的故事

Proceedings of the ACM on computer graphics and interactive techniques Pub Date : 2022-09-06 DOI: 10.1145/3533612

David Gochfeld, Alex Coulombe, Yu-Jun Yeh, Robert C. Lester, R. B. Fleming, Zachary Meicher-Buzzi, Ari Tarr

引用次数: 1

Traditional African Dances Preservation Using Deep Learning Techniques 利用深度学习技术保护非洲传统舞蹈

Proceedings of the ACM on computer graphics and interactive techniques Pub Date : 2022-09-06 DOI: 10.1145/3533608

A. E. Odefunso, E. Bravo, Victor Y. Chen

{"title":"Traditional African Dances Preservation Using Deep Learning Techniques","authors":"A. E. Odefunso, E. Bravo, Victor Y. Chen","doi":"10.1145/3533608","DOIUrl":"https://doi.org/10.1145/3533608","url":null,"abstract":"Human action recognition continues to evolve and improve through deep learning techniques. There have been studies with some success in the field of action recognition, but only a few of them have focused on traditional dance. This is because dance actions, especially in traditional African dance, are long and involve fast movements. This research proposes a novel framework that applies data science algorithms to the field of cultural preservation by applying various deep learning techniques to identify, classify, and model traditional African dances from videos. Traditional dances are an important part of African culture and heritage. Digital preservation of these dances in their multitude and form is a challenging problem. The dance dataset was constituted from freely available YouTube videos. Four traditional African dances were used for the dance classification process: Adowa, Swange, Bata, and Sinte dance. Five Convolutional Neural Network (CNN) models were used for the classification and achieved an accuracy between 93% and 98%. Additionally, human pose estimation algorithms were applied to Sinte dance. A model of Sinte dance that can be exported to other environments was obtained.","PeriodicalId":74536,"journal":{"name":"Proceedings of the ACM on computer graphics and interactive techniques","volume":" ","pages":"1 - 11"},"PeriodicalIF":0.0,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47589648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An Aquarium of Machines 机器水族馆

Proceedings of the ACM on computer graphics and interactive techniques Pub Date : 2022-09-06 DOI: 10.1145/3533388

Nathan S. Lachenmyer, Sadiya Akasha

引用次数: 1

KineCAM KineCAM

Proceedings of the ACM on computer graphics and interactive techniques Pub Date : 2022-09-06 DOI: 10.1145/3533613

Ticha Sethapakdi, Mackenzie Leake, Catalina Monsalve Rodriguez, Miranda J. Cai, Stefanie Mueller

引用次数: 1

High-Performance Polynomial Root Finding for Graphics 图形的高性能多项式根查找

Proceedings of the ACM on computer graphics and interactive techniques Pub Date : 2022-07-25 DOI: 10.1145/3543865

Cem Yuksel

引用次数: 2

Temporally Stable Real-Time Joint Neural Denoising and Supersampling 时间稳定的实时联合神经去噪和超采样

Proceedings of the ACM on computer graphics and interactive techniques Pub Date : 2022-07-25 DOI: 10.1145/3543870

M. M. Thomas, Gabor Liktor, Christoph Peters, Sung-ye Kim, K. Vaidyanathan, A. Forbes

{"title":"Temporally Stable Real-Time Joint Neural Denoising and Supersampling","authors":"M. M. Thomas, Gabor Liktor, Christoph Peters, Sung-ye Kim, K. Vaidyanathan, A. Forbes","doi":"10.1145/3543870","DOIUrl":"https://doi.org/10.1145/3543870","url":null,"abstract":"Recent advances in ray tracing hardware bring real-time path tracing into reach, and ray traced soft shadows, glossy reflections, and diffuse global illumination are now common features in games. Nonetheless, ray budgets are still limited. This results in undersampling, which manifests as aliasing and noise. Prior work addresses these issues separately. While temporal supersampling methods based on neural networks have gained a wide use in modern games due to their better robustness, neural denoising remains challenging because of its higher computational cost. We introduce a novel neural network architecture for real-time rendering that combines supersampling and denoising, thus lowering the cost compared to two separate networks. This is achieved by sharing a single low-precision feature extractor with multiple higher-precision filter stages. To reduce cost further, our network takes low-resolution inputs and reconstructs a high-resolution denoised supersampled output. Our technique produces temporally stable high-fidelity results that significantly outperform state-of-the-art real-time statistical or analytical denoisers combined with TAA or neural upsampling to the target resolution.","PeriodicalId":74536,"journal":{"name":"Proceedings of the ACM on computer graphics and interactive techniques","volume":"5 1","pages":"1 - 22"},"PeriodicalIF":0.0,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43106750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Ray/Ribbon Intersections 雷/带十字路口

Proceedings of the ACM on computer graphics and interactive techniques Pub Date : 2022-07-25 DOI: 10.1145/3543862

A. Reshetov

引用次数: 2

Data Parallel Path Tracing with Object Hierarchies 基于对象层次结构的数据并行路径跟踪

Proceedings of the ACM on computer graphics and interactive techniques Pub Date : 2022-07-25 DOI: 10.1145/3543861

I. Wald, S. Parker

引用次数: 2