Application of Virtual Try-On Models to Bangladeshi Clothes

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creativework.keywordsGenerative AI, Artificial intelligence, Bangladesh, Clothing
dc.contributor.advisorDr Rashedur M. Rahman
dc.contributor.authorGuru Ananda Gayen
dc.contributor.authorAkash Lanard
dc.contributor.authorMahir Tahmid
dc.contributor.authorMehran Siddiqui
dc.contributor.id1631229642
dc.contributor.id1721271642
dc.contributor.id1821954642
dc.contributor.id1822107642
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025-11-30
dc.date.accessioned2025-11-30T06:18:33Z
dc.date.available2025-11-30T06:18:33Z
dc.date.issued2021-04-30
dc.description.abstractVirtual try-on is a challenging task that has at- tracted a lot of interest in recent years due to its po- tential for augmenting online clothes shopping. All work done in this area has been based on datasets of western clothing, primarily tops. Such clothing is generally easier to work with, due to the fact that it is tight- tting and consists of a single clothing item. Bangladeshi clothes in contrast are loose- tting, re- sulting in a loss of information which makes the virtual try-on task especially di cult. We collect a Bangladeshi dataset and perform virtual try-on with two existing state-of-the-art models. We pro- vide both quantitative and qualitative analyses. We achieve an inception score of 2.2449 and 2.6083 on two di erent models. Qualitatively, the outputs are error-prone, however some results indicate that with some improvement, virtual try-on on Bangladeshi clothes can be feasible.
dc.description.degreeUndergraduate
dc.identifier.cd600000268
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1512
dc.language.isoen_US
dc.publisherNorth South University
dc.rights@ NSU Library
dc.titleApplication of Virtual Try-On Models to Bangladeshi Clothes
dc.typeProject
oaire.citation.endPage49
oaire.citation.startPage1
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