VITON-HD

doi:doi:10.57702/f02ny1qd

VITON-HD

Virtual try-on focuses on adjusting the given clothes to fit a specific person seamlessly while avoiding any distortion of the patterns and textures of the garment. The clothing identity uncontrollability and training inefficiency of existing diffusion-based methods, which struggle to maintain the identity even with full parameter training, are significant limitations that hinder the widespread applications.

BibTex:

@dataset{Seunghwan_Choi_and_Sunghyun_Park_and_Minsoo_Lee_and_Jaegul_Choo_2024,
    abstract = {Virtual try-on focuses on adjusting the given clothes to fit a specific person seamlessly while avoiding any distortion of the patterns and textures of the garment. The clothing identity uncontrollability and training inefficiency of existing diffusion-based methods, which struggle to maintain the identity even with full parameter training, are significant limitations that hinder the widespread applications.},
    author = {Seunghwan Choi and Sunghyun Park and Minsoo Lee and Jaegul Choo},
    doi = {10.57702/f02ny1qd},
    institution = {No Organization},
    keyword = {'Computer Vision', 'Frontal-View Virtual Try-On', 'Garment Images', 'Garment-Person Pairs', 'High-Resolution', 'High-resolution images', 'Image Dataset', 'Image-based Virtual Try-on', 'Misalignment', 'Occlusion', 'Virtual Try-On', 'Virtual Try-on', 'clothing identity', 'diffusion-based methods', 'virtual try-on'},
    month = {dec},
    publisher = {TIB},
    title = {VITON-HD},
    url = {https://service.tib.eu/ldmservice/dataset/viton-hd},
    year = {2024}
}