muzishen/IMAGDressing
[AAAI 2025]👔IMAGDressing👔: Interactive Modular Apparel Generation for Virtual Dressing. It enables customizable human image generation with flexible garment, pose, and scene control, ensuring high fidelity and garment consistency for virtual dressing.
Combines a specialized garment UNet with hybrid attention (frozen self-attention + trainable cross-attention) to inject CLIP semantic and VAE texture features into a frozen diffusion backbone, enabling zero-shot customization without LoRA training. Seamlessly integrates with Stable Diffusion 1.5 extensions including IP-Adapter, ControlNet, T2I-Adapter, and AnimateDiff for enhanced pose, face, and scene control; includes the IGPair dataset (300K+ image pairs) and the CAMI metric for evaluating garment affinity and consistency.
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1,333
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120
Language
Python
License
Apache-2.0
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Last pushed
Sep 30, 2025
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