This repository implements HR-VITON, a virtual try-on system published at ECCV 2022 that addresses misalignment and occlusion issues in clothing transfer. The model warps clothing items to fit a person’s body and generates segmentation maps before fusing the item with the person. It uses deep learning to handle pixel-squeezing artifacts near occluded clothing regions.