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[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.
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.
Preview clothing with live camera overlays or generate a photo try-on from person and garment images. The application combines a Next.js interface, a FastAPI garment-processing API, and CatVTON inference through a hosted Gradio service.
Here is my own image file format : the TIMF. This is not meant to be the next standart but just to try this out and learn more about file formats and how they work. I'll learn this by myself and by searching on the net.
This repo is where I'll put my steganography algorithm(s). The goal is to learn about steganography and to create an example algorithm quite simple. Then I'll elaborate another algorithm, a bit more complex, but I will only post here some images containing a message encrypted by this 2nd secret algorithm.
Generate AI virtual try-on images from garment photos, model photos, or text prompts, with multi-angle visuals and video output for e-commerce and fashion content.