IDM-VTON

Preview：

Introduce：

IDM-VTON is a novel diffusion model for image-based virtual fitting tasks, which generates highly realistic and detailed virtual fitting images by combining high-level semantics and low-level features of visual encoders and UNet networks. The technology enhances the authenticity of the generated images by providing detailed text prompts, and further enhances fidelity and realism in real-world scenarios through a custom approach.

Stakeholders:

Usage Scenario Examples:

• Clothing brands use IDM-VTON to show how their new season outfits look on different models
• The e-commerce platform uses IDM-VTON to provide customers with personalized virtual fitting services
• Fashion bloggers share outfit suggestions on social media through IDM-VTON

The features of the tool:

• Two different modules are used to encode the semantics of clothing images
• High-level semantics extracted by visual encoders are fused with cross-attention layers
• Low-level features extracted from parallel UNet are fused with the self-attention layer
• Provide detailed text prompts for costume and character images to enhance the authenticity of the generated vision
• The customization method using a pair of character and costume images significantly improves fidelity and authenticity
• Generate images with a high degree of clothing consistency in real world Settings
• Produce high quality images even in complex backgrounds or with a variety of poses

Steps for Use:

• Step 1: Prepare the character image and costume image
• Step 2: Provide detailed text prompts for costume and character images
• Step 3: IDM-VTON model was used to generate virtual fitting images
• Step 4: Further optimize the generated image to fit a specific real-world scenario through a custom approach
• Step 5: Display or share the generated virtual fitting images on the Internet or social media platforms

Tool’s Tabs: Virtual try on, image generation