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Kolors Virtual Try On is a platform that uses advanced AI technology to provide online virtual try-on services. It helps users visualize clothing products in a real environment through virtual modeling, reducing the cost of returns and exchanges caused by unsatisfactory sizes or unsatisfactory styles. Users can try on clothing anytime, anywhere and make smarter shopping choices. The platform is compatible with multiple platforms, provides personalized recommendations, and is mobile-friendly. Kolors Virtual Try On's privacy policy ensures the security of user data and all uploaded photos will be securely deleted after processing.
IMAGDressing is an interactive modular clothing generation model designed to provide flexible and controllable customization services for virtual try-on systems. This model ensures user control over editing by combining the semantic features of CLIP and the texture features of VAE, using a hybrid attention module to integrate these features into the denoising UNet. In addition, IMAGDressing also provides the IGPair data set, which contains more than 300,000 pairs of clothing and wearing images, establishing a standard data assembly process. This model can be used in conjunction with extension plug-ins such as ControlNet, IP-Adapter, T2I-Adapter and AnimateDiff to enhance diversity and controllability.
Outfit Anyone is a client program that calls the interface for virtual try-on. This model is not open source, fixed and cannot be uploaded or modified. It only supports users to upload their own clothing.
MagicClothing is a new network architecture based on Latent Diffusion Model (LDM), specifically designed for clothing-driven image synthesis tasks. It can generate customized character images wearing specific clothing based on text prompts, while ensuring the preservation of clothing details and faithful presentation of text prompts. The system achieves a high degree of image controllability through clothing feature extractor and self-attention fusion technology, and can be combined with other technologies such as ControlNet and IP-Adapter to enhance character diversity and controllability. In addition, the matching point LPIPS (MP-LPIPS) evaluation metric is developed to evaluate the consistency of the generated image with the original garment.
ModelAgents is an AI fashion model generator that provides e-commerce retailers with efficient and cost-effective live model photography solutions. It features a powerful AI-based design assistant and an extensive library of controllable AI model styles, allowing you to easily create stunning AI art images, graphics, videos, and animations. ModelAgents is an essential tool for hobbyists, architects, interior designers, product designers, and game animators. Its AI super model generation technology can generate realistic models and backgrounds for your clothing brand, regardless of size, race, age or gender, including plus-size models, Victoria's Secret models, male models, underwear models, black models, etc. Whether you are looking for an AI-driven design assistant to help you realize your creative ideas, or an AI-driven design assistant that can help you realize your creative ideas, ModelAgents is your best choice.
OOTDiffusion is an open source tool for virtual clothing try-on based on latent diffusion model. It supports both half-body and full-body models, which can achieve natural integration of clothing. Users can achieve precise control of the try-on effect by adjusting various parameters to meet different needs. The tool is open source on GitHub and has received more than 300 stars.
SIFU is a method that uses side-view images to reconstruct high-quality 3D clothing virtual character models. Its core innovation is to propose a new implicit function based on side-view images, which can enhance feature extraction and improve geometric accuracy. In addition, SIFU also introduces a 3D consistent texture optimization process that can greatly improve texture quality, enabling texture editing with the help of a text-to-image diffusion model. SIFU is good at handling complex postures and loose clothing, making it an ideal solution for practical applications.
The fAIshion virtual fitting plug-in integrates AI technology to provide comprehensive pre-sales solutions for online shopping consumers. The main functions include AI-generated diversified try-on effects that adapt to different body types, ages and races, and provide AI size recommendations and automatic discount code matching for a personalized shopping experience.
Runwayy is an app that helps you choose great outfits and show off your style. It offers improved clothing search capabilities and is available for iPhone and Mac at no charge. Users can use it on iPhones with iOS 16.0 or higher, or on Macs with macOS 13.0 or higher (requires Apple M1 chip or higher). The app does not collect any data and is suitable for users aged 9+.
ModelAgents is an AI fashion model generator that makes it easy to create stunning AI art pictures, graphics, videos, and animations through a powerful AI-driven design assistant and a rich library of controllable AIGC (AI Generated Content) model styles. ModelAgents is an essential tool for hobbyists, architects, interior designers, product designers, and game animators. It can generate realistic models and backgrounds for your clothing brand, regardless of size, race, age or gender, including plus size models, Victoria's Secret models, male models, lingerie models, black models and more. Whether you're looking for an AI-powered design assistant that can help you realize your creative ideas, or you want to showcase your design work, ModelAgents has you covered.
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