Manuscrit-Survey.pdf (2.74 MB)

You can Try without Visiting: A Comprehensive Survey on Virtually Try-on Outfits

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posted on 2021-08-09, 12:07 authored by Hajer GhodhbaniHajer Ghodhbani, Adel AlimiAdel Alimi, Mohamed Neji, Imran Razzak

Our work aims to conduct a comprehensive literature review of deep learning methods applied in the fashion industry and, especially, the image-based virtual fitting task by citing research works published in the last years. We have summarized their challenges, their main frameworks, the popular benchmark datasets, and the different evaluation metrics. Also, some promising future research directions are discussed to propose improvements in this research field.


Email Address of Submitting Author

Submitting Author's Institution

National Engineering School of Sfax (ENIS)

Submitting Author's Country

  • Tunisia

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