You can try without visiting: a comprehensive survey on virtually try-on outfits

Ghodhbani, H; Neji, M; Razzak, I; Alimi, AM

You can try without visiting: a comprehensive survey on virtually try-on outfits

Ghodhbani, H Neji, M Razzak, I Alimi, AM

Permalink

Publisher:: Springer Nature
Publication Type:: Journal Article
Citation:: Multimed Tools Appl, 2022, 81, (14), pp. 19967-19998
Issue Date:: 2022-06-01

Closed Access

	Filename	Description	Size
	You can try without visiting a comprehensive survey on virtually try-on outfits.pdf	Published version	3.15 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Ghodhbani, H
dc.contributor.author	Neji, M
dc.contributor.author	Razzak, I
dc.contributor.author	Alimi, AM
dc.date.accessioned	2023-06-27T06:14:07Z
dc.date.available	2022-03-01
dc.date.available	2023-06-27T06:14:07Z
dc.date.issued	2022-06-01
dc.identifier.citation	Multimed Tools Appl, 2022, 81, (14), pp. 19967-19998
dc.identifier.issn	1380-7501
dc.identifier.issn	1573-7721
dc.identifier.uri	http://hdl.handle.net/10453/170899
dc.description.abstract	Since the last years and until now technology has made fast progress for many industries in particularly garment industry which aims to follow consumer desires and demands One of these demands is to fit clothes before purchasing them on line Therefore many research works have been focused on how to develop an intelligent apparel industry to ensure the online shopping experience Image based virtual try on is among the most potential approach of virtual fitting that tries on target clothes into customer s image therefore it has received considerable research efforts in the recent years However there are several challenges involved in development of virtual try on that make it difficult to achieve naturally looking virtual outfit such as shape pose occlusion illumination cloth texture logo and text etc The aim of this study is to provide a comprehensive and structured overview of extensive research on the advancement of virtual try on This review first introduces virtual try on and its challenges followed by its demand in fashion industry We summarize state of the art image based virtual try on for both fashion detection and fashion synthesis as well as their respective advantages drawbacks and guidelines for selection of specific try on model followed by its recent development and successful application Finally we conclude the paper with promising directions for future research 2022 The Author s under exclusive licence to Springer Science Business Media LLC part of Springer Nature
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Springer Nature
dc.relation.ispartof	Multimed Tools Appl
dc.relation.isbasedon	10.1007/s11042-022-12802-6
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 0803 Computer Software, 0805 Distributed Computing, 0806 Information Systems
dc.subject.classification	Artificial Intelligence & Image Processing
dc.subject.classification	Software Engineering
dc.title	You can try without visiting: a comprehensive survey on virtually try-on outfits
dc.type	Journal Article
utslib.citation.volume	81
utslib.location.activity	United States
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0803 Computer Software
utslib.for	0805 Distributed Computing
utslib.for	0806 Information Systems
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2023-06-27T06:14:02Z
pubs.issue	14
pubs.publication-status	Accepted
pubs.volume	81
utslib.citation.issue	14

Abstract:

Since the last years and until now technology has made fast progress for many industries in particularly garment industry which aims to follow consumer desires and demands One of these demands is to fit clothes before purchasing them on line Therefore many research works have been focused on how to develop an intelligent apparel industry to ensure the online shopping experience Image based virtual try on is among the most potential approach of virtual fitting that tries on target clothes into customer s image therefore it has received considerable research efforts in the recent years However there are several challenges involved in development of virtual try on that make it difficult to achieve naturally looking virtual outfit such as shape pose occlusion illumination cloth texture logo and text etc The aim of this study is to provide a comprehensive and structured overview of extensive research on the advancement of virtual try on This review first introduces virtual try on and its challenges followed by its demand in fashion industry We summarize state of the art image based virtual try on for both fashion detection and fashion synthesis as well as their respective advantages drawbacks and guidelines for selection of specific try on model followed by its recent development and successful application Finally we conclude the paper with promising directions for future research 2022 The Author s under exclusive licence to Springer Science Business Media LLC part of Springer Nature

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/170899