{"title":"Volume: 3D reconstruction of history for immersive platforms","authors":"Or Fleisher, Shirin Anlen","doi":"10.1145/3230744.3230791","DOIUrl":null,"url":null,"abstract":"This paper presents Volume, a software toolkit that enables users to experiment with expressive reconstructions of archival and/or historical materials as volumetric renderings. Making use of contemporary deep learning methods, Volume re-imagines 2D images as volumetric 3D assets. These assets can then be incorporated into virtual, augmented and mixed reality experiences.","PeriodicalId":226759,"journal":{"name":"ACM SIGGRAPH 2018 Posters","volume":"195 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2018 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3230744.3230791","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper presents Volume, a software toolkit that enables users to experiment with expressive reconstructions of archival and/or historical materials as volumetric renderings. Making use of contemporary deep learning methods, Volume re-imagines 2D images as volumetric 3D assets. These assets can then be incorporated into virtual, augmented and mixed reality experiences.