Learning Garment DensePose for Robust Warping in Virtual Try-On

Understand

Virtual try-on, i.e making people virtually try new garments, is an active research area in computer vision with great commercial applications.

• Current virtual try-on methods usually work in a two-stage pipeline.
• First, the garment image is warped on the person's pose using a flow estimation network.
• Then in the second stage, the warped garment is fused with the person image to render a new try-on image.