{"id":9962,"date":"2024-05-09T09:27:21","date_gmt":"2024-05-09T01:27:21","guid":{"rendered":"https:\/\/www.1ai.net\/?p=9962"},"modified":"2024-05-09T09:27:21","modified_gmt":"2024-05-09T01:27:21","slug":"idm-vton%ef%bc%9a%e4%b8%80%e9%94%aeai%e6%8d%a2%e8%a1%a3%ef%bc%8c%e5%ae%9e%e7%8e%b0%e7%9c%9f%e5%ae%9e%e7%9a%84%e8%99%9a%e6%8b%9f%e8%af%95%e7%a9%bf%e7%9a%84%e5%bc%80%e6%ba%90ai%e6%8d%a2%e8%a3%85","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/9962.html","title":{"rendered":"IDM-VTON: One-click AI clothing change, an open source AI dressing tool that realizes real virtual try-on"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/i1.wp.com\/nav-station.oss-accelerate.aliyuncs.com\/171498120435763113.webp\" \/><a href=\"https:\/\/www.1ai.net\/en\/tag\/idm-vton\" title=\"_OTHER ORGANISER\" target=\"_blank\" >IDM-VTON<\/a>is a novel diffusion model for image-based virtual try-on tasks, which generates virtual try-on images with a high degree of realism and detail by combining high-level semantics of visual coders and UNet networks as well as low-level features. The technique enhances the realism of the generated images by providing detailed textual cues and further improves the fidelity and realism in real world scenarios through customization methods.<\/p>\n<p>IDM-VTON is a state-of-the-art virtual fitting technology that generates high-quality virtual fitting images by combining a visual coder and a UNet model, and can be customized to further improve image consistency and realism.<\/p>\n<h2><span id=\"lwptoc2\"><strong>IDM-VTON Function<\/strong><\/span><\/h2>\n<p>Virtual Try-On Image Generation: Generates a virtual image of a user wearing a specific garment based on images of the user and the garment.<\/p>\n<p>Garment detail preservation: Low-level features of the garment are extracted by GarmentNet to ensure that the details of the garment, such as patterns and textures, are accurately reflected in the generated image.<\/p>\n<p>Supports textual cue comprehension: utilizes visual coders and textual cues to enable the model to understand high-level semantic information about garments, such as style, type, etc.<\/p>\n<p>Personalization: Allows users to customize and generate a fitting that better matches their personal characteristics by providing their own images and images of the garment.<\/p>\n<p>Realistic fitting effect: IDM-VTON generates visually realistic fitting images that are not only visually consistent with the garment image, but also naturally adapt to the posture and body shape of the person.<\/p>\n<p>&nbsp;<\/p>\n<p>Official website address:<a href=\"https:\/\/idm-vton.github.io\/\">https:\/\/idm-vton.github.io\/\u00a0<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>IDM-VTON is a novel diffusion model for image-based virtual try-on tasks, which generates virtual try-on images with a high degree of realism and detail by combining high-level semantics of visual coders and UNet networks as well as low-level features. The technique enhances the realism of the generated images by providing detailed textual cues and further improves the fidelity and realism in real-world scenarios through customization methods. IDM-VTON is an advanced virtual try-on technology that generates high-quality virtual try-on images by combining a visual coder and a UNet model, and can be customized to further enhance image consistency and realism. IDM-VTON Functions Virtual Try-On Image Generation: Based on the images of the user and the garment, it generates a virtual image of the user wearing a specific garment.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[138,142],"tags":[2481,2524],"collection":[],"class_list":["post-9962","post","type-post","status-publish","format-standard","hentry","category-product","category-tuxiang","tag-ai","tag-idm-vton"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/9962","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=9962"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/9962\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=9962"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=9962"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=9962"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=9962"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}