Try on Image

Virtual try-on technology aims to realistically render images of individuals wearing different clothes, using only images of the person and the garment as input. Current research heavily utilizes diffusion models, often enhanced with techniques like semantic guidance, to improve the fidelity of generated images, addressing issues such as preserving clothing details and minimizing artifacts like occlusions. This field is significant for e-commerce, enabling more realistic online shopping experiences and reducing returns due to fit issues, while also pushing the boundaries of image generation and manipulation techniques within computer vision.