Virtual Try-On with Deep Generative Networks

Sethu Pastula


Supervised by Yukun Lai; Moderated by Frank C Langbein

Virtual try-on refers to techniques that virtually put chosen clothing on a given person and generate realistic images. It has significant real-world applications to support online shopping for clothing. In recent years, we have seen significant improvements in technical advances for virtual try-on, largely benefiting from deep neural networks using e.g. generative adversarial networks (GANs). The project aims to build a prototype system to achieve virtual try-on.

Initial Plan (05/02/2023) [Zip Archive]

Final Report (12/05/2023) [Zip Archive]

Publication Form