Novel-View Synthesis of Human Tourist Photos
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Freer, J. | - |
dc.contributor.author | Yi, K.M. | - |
dc.contributor.author | Jiang, W. | - |
dc.contributor.author | Choi, Jongwon | - |
dc.contributor.author | Chang, H.J. | - |
dc.date.accessioned | 2023-03-08T09:19:10Z | - |
dc.date.available | 2023-03-08T09:19:10Z | - |
dc.date.issued | 2022-01 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/61736 | - |
dc.description.abstract | We present a novel framework for performing novel-view synthesis on human tourist photos. Given a tourist photo from a known scene, we reconstruct the photo in 3D space through modeling the human and the background independently. We generate a deep buffer from a novel viewpoint of the reconstruction and utilize a deep network to translate the buffer into a photo-realistic rendering of the novel view. We additionally present a method to relight the renderings, allowing for relighting of both human and background to match either the provided input image or any other. The key contributions of our paper are: 1) a framework for performing novel view synthesis on human tourist photos, 2) an appearance transfer method for relighting of humans to match synthesized backgrounds, and 3) a method for estimating lighting properties from a single human photo. We demonstrate the proposed framework on photos from two different scenes of various tourists. © 2022 IEEE. | - |
dc.format.extent | 8 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Novel-View Synthesis of Human Tourist Photos | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/WACV51458.2022.00093 | - |
dc.identifier.bibliographicCitation | Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, pp 857 - 864 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000800471200086 | - |
dc.identifier.scopusid | 2-s2.0-85126105944 | - |
dc.citation.endPage | 864 | - |
dc.citation.startPage | 857 | - |
dc.citation.title | Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 | - |
dc.type.docType | Proceedings Paper | - |
dc.subject.keywordAuthor | Computational Photography | - |
dc.subject.keywordAuthor | Image and Video Synthesis Vision for Graphics | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Imaging Science & Photographic Technology | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Imaging Science & Photographic Technology | - |
dc.description.journalRegisteredClass | scopus | - |
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