English

Virtual Dress Swap Using Landmark Detection

Computer Vision and Pattern Recognition 2021-03-18 v1 Machine Learning

Abstract

Online shopping has gained popularity recently. This paper addresses one crucial problem of buying dress online, which has not been solved yet. This research tries to implement the idea of clothes swapping with the help of DeepFashion dataset where 6,223 images with eight landmarks each used. Deep Convolutional Neural Network has been built for Landmark detection.

Keywords

Cite

@article{arxiv.2103.09475,
  title  = {Virtual Dress Swap Using Landmark Detection},
  author = {Odar Zeynal and Saber Malekzadeh},
  journal= {arXiv preprint arXiv:2103.09475},
  year   = {2021}
}
R2 v1 2026-06-24T00:15:49.746Z