Image-Based Virtual Try-on System: A Survey of Deep Learning-Based Methods
Hajer Ghodhbani, Adel M. Alimi, Mohamed Néji, Imran Razzak · 2021
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.