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).

Awesome-Try-On-Models. A repository for organizing papers, codes and other resources related to Virtual Try-on Models

CatV2TON. [CVPR 2025 Workshop] CatV2TON is a lightweight DiT-based visual virtual try-on model, capable of supporting try-on for both images and videos.

FashionMatrix. Fashion Matrix is dedicated to bridging various visual and language models and continuously refining its capabilities as a comprehensive fashion AI assistant. This project will continue to update new features and optimization effects.

FastFit. Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models

server-management-panel. 🖥️ A modern web-based server monitoring and management panel built with Flask. Features real-time server status monitoring, automated SSH user management, GPU monitoring, and secure admin controls with a beautiful dark theme UI.

Human-Toolkit. Python

Daily-Paper-Skill. Python