You can Try without Visiting: A Comprehensive Survey on Virtually Try-on
Outfits
- Hajer Ghodhbani ,
- Adel Alimi ,
- Mohamed Neji ,
- Imran Razzak
Abstract
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.