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
Official implementation for "CP-VTON+: Clothing Shape and Texture Preserving Image-Based Virtual Try-On", CVPRW 2020
"Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content",CVPR 2020. (Modified from original with fixes for inference)
This is the unofficial implementation of SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On
[ICLR 2026] "Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals"
Transform your fashion design process with the Fashion Design Generator and unleash your creativity like never before.
Full-stack augmented reality and AI-powered virtual garment try-on system for e-commerce. Combines real-time AR preview with ML-powered photo-realistic virtual try-on using state-of-the-art deep learning models.
preprocessing for VITON models
Test harness for Fast_VTON_full.pt — virtual try-on inference (Fast-VTON Stage 1) with Gradio demo, runnable on Kaggle P100 / Colab Pro.
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