Shypd.aiThe largest open index of AI toolsTryOnDiffusion is an image generation tool that uses a two-UNet diffusion model for virtual garment try-on. It generates photorealistic visualizations of how garments look on different people, preserving garment details and adapting to pose changes.
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TryOnDiffusion is a cutting-edge image generation tool designed for virtual garment try-on applications. It utilizes a novel diffusion-based architecture, referred to as Parallel-UNet, which integrates two UNets to achieve high-fidelity, detail-preserving garment visualizations. This tool excels at warping garments to accommodate significant body pose and shape changes across subjects, a key challenge in virtual try-on. Unlike previous methods that either prioritized detail preservation or pose adaptation, TryOnDiffusion unifies these aspects in a single network. The process involves segmenting the person and garment, computing poses, and then using a multi-stage diffusion process to generate realistic try-on images, starting from 128x128 and scaling up to 1024x1024 resolution. It has demonstrated state-of-the-art performance qualitatively and quantitatively against other methods.
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Not publicly disclosed. Check tryondiffusion.github.io for current pricing.
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