A Review Study on Investing Deep Learning in The Field of Virtual Dressing

This study provides a comprehensive review and detailed analysis of existing works based on deep learning for 3D pose estimation, transforming 2D clothing items into a person's image using artificial intelligence (AI) techniques to develop virtual fitting room.

The current results are presented and discussed, and we summarize the advantages and disadvantages of these existing methods and provide an in-depth understanding of the field.

Besides, we present the commonly used standard datasets upon which comprehensive study is conducted for comparison and analysis.

Keywords: Deep Learning, CNN, Virtual Try On, AI, CAPE, SMPL.