Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On

arXiv:2404.01089v1 Announce Type: new
Abstract: Image-based virtual try-on is an increasingly important task for online shopping. It aims to synthesize images of a specific person wearing a specified garment. Diffusion model-based approaches have recently become popular, as they are excellent at image synthesis tasks. However, these approaches usually employ additional image encoders and rely on the cross-attention mechanism for texture transfer from the garment to the person image, which affects the try-on's efficiency and fidelity. To address these issues, we …

abstract arxiv become cs.ai cs.cv diffusion diffusion model diffusion models fidelity however image images online shopping person popular shopping synthesis tasks texture type virtual virtual try-on