CatVTON and Re-CatVTON

CatVTON
53
Established
Re-CatVTON
22
Experimental
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 6/25
Adoption 3/25
Maturity 13/25
Community 0/25
Stars: 1,615
Forks: 207
Downloads: —
Commits (30d): 0
Language: Python
License: —
Stars: 3
Forks: —
Downloads: —
Commits (30d): 0
Language: Python
License: —
No Package No Dependents
No Package No Dependents

About CatVTON

Zheng-Chong/CatVTON

[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).

This project helps online retailers and fashion brands create photorealistic images of clothing on models without physical photoshoots. You provide an image of a person and an image of a garment, and it generates a new image showing the person "wearing" that garment. This is ideal for e-commerce, virtual try-on experiences, or digital fashion design, allowing marketers and product managers to quickly visualize new collections.

e-commerce fashion-marketing product-visualization digital-garment-design virtual-try-on

About Re-CatVTON

Levinna/Re-CatVTON

Official implementation of "Rethinking Garment Conditioning in Diffusion-based Virtual Try-On (Re-CatVTON)"

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