CatVTON and TEMU-VTOFF
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.
About TEMU-VTOFF
davidelobba/TEMU-VTOFF
[ICLR 2026] "Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals"
This project helps fashion retailers, stylists, and e-commerce platforms create clean, in-shop images of clothing items. You provide a photo of someone wearing an item, and it generates a professional product image of just the garment. This is for anyone who needs to quickly create high-quality product photos from real-world try-on images.
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