SPG-VTON: Semantic Prediction Guidance for Multi-Pose Virtual Try-on

10.1109/TMM.2022.3143712

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Bibliographic Details
Main Authors:	Hu, Bingwen, Liu, Ping, Zheng, Zhedong, Ren, Mingwu
Other Authors:	DEPARTMENT OF COMPUTER SCIENCE
Format:	Article
Language:	English
Published:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 2023
Subjects:	Science & Technology Technology Computer Science, Information Systems Computer Science, Software Engineering Telecommunications Computer Science Semantics Clothing Faces Fitting Training Shape Image synthesis End-to-end multi-pose semantic prediction virtual try-on
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/245847
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-245847
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spelling	sg-nus-scholar.10635-2458472023-11-09T05:05:09Z SPG-VTON: Semantic Prediction Guidance for Multi-Pose Virtual Try-on Hu, Bingwen Liu, Ping Zheng, Zhedong Ren, Mingwu DEPARTMENT OF COMPUTER SCIENCE Science & Technology Technology Computer Science, Information Systems Computer Science, Software Engineering Telecommunications Computer Science Semantics Clothing Faces Fitting Training Shape Image synthesis End-to-end multi-pose semantic prediction virtual try-on 10.1109/TMM.2022.3143712 IEEE TRANSACTIONS ON MULTIMEDIA 24 1233-1246 2023-11-09T04:59:21Z 2023-11-09T04:59:21Z 2022 2023-11-09T03:44:04Z Article Hu, Bingwen, Liu, Ping, Zheng, Zhedong, Ren, Mingwu (2022). SPG-VTON: Semantic Prediction Guidance for Multi-Pose Virtual Try-on. IEEE TRANSACTIONS ON MULTIMEDIA 24 : 1233-1246. ScholarBank@NUS Repository. https://doi.org/10.1109/TMM.2022.3143712 1520-9210 1941-0077 https://scholarbank.nus.edu.sg/handle/10635/245847 en IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Science & Technology Technology Computer Science, Information Systems Computer Science, Software Engineering Telecommunications Computer Science Semantics Clothing Faces Fitting Training Shape Image synthesis End-to-end multi-pose semantic prediction virtual try-on
spellingShingle	Science & Technology Technology Computer Science, Information Systems Computer Science, Software Engineering Telecommunications Computer Science Semantics Clothing Faces Fitting Training Shape Image synthesis End-to-end multi-pose semantic prediction virtual try-on Hu, Bingwen Liu, Ping Zheng, Zhedong Ren, Mingwu SPG-VTON: Semantic Prediction Guidance for Multi-Pose Virtual Try-on
description	10.1109/TMM.2022.3143712
author2	DEPARTMENT OF COMPUTER SCIENCE
author_facet	DEPARTMENT OF COMPUTER SCIENCE Hu, Bingwen Liu, Ping Zheng, Zhedong Ren, Mingwu
format	Article
author	Hu, Bingwen Liu, Ping Zheng, Zhedong Ren, Mingwu
author_sort	Hu, Bingwen
title	SPG-VTON: Semantic Prediction Guidance for Multi-Pose Virtual Try-on
title_short	SPG-VTON: Semantic Prediction Guidance for Multi-Pose Virtual Try-on
title_full	SPG-VTON: Semantic Prediction Guidance for Multi-Pose Virtual Try-on
title_fullStr	SPG-VTON: Semantic Prediction Guidance for Multi-Pose Virtual Try-on
title_full_unstemmed	SPG-VTON: Semantic Prediction Guidance for Multi-Pose Virtual Try-on
title_sort	spg-vton: semantic prediction guidance for multi-pose virtual try-on
publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/245847
_version_	1783955441260167168

SPG-VTON: Semantic Prediction Guidance for Multi-Pose Virtual Try-on

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