CLOTON: A GAN based approach for Clothing Try-On
Shrey Pandey, Yash Srivastava, Yukta Meena, Rupesh Kumar Dewang · 2021
Cloton is a framework that produces a picture of a person wearing the target clothing while taking into account arbitrary body shapes and poses. As the generation of an individual image necessitates the extraction of body shape and pose from one image and target clothing from another, the architecture is divided into a number of tasks. With these two images as input, the system generates a new picture of the user wearing the target clothing using a generative network. The output is this generated image, which is then sent back to the user. By using encoder-decoder networks as the generator model and training it using the generative adversarial approach used by GANs, Cloton manages to generate visually appealing garment swapped images of the user. Cloton also has good results in the quantitative analysis of the system as compared to previous works.