Official implementation of Magic Clothing: Controllable Garment-Driven Image Synthesis
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Updated
Jul 29, 2024 - Python
Official implementation of Magic Clothing: Controllable Garment-Driven Image Synthesis
[ICLR 2025] CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).
[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.
Stable Fashion: A prompt based virtual try on repository
Official code for DOC-VTON. We provide visualization results of Awesome Virtual Tryon. Besides, we provide auxiliary data of VITON and VITON-HD for training and testing.
Windows running repository of the pix2surf code of the paper "Learning to Transfer Texture from Clothing Images to 3D Humans"
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