Zheng Chong
@Zheng-ChongZheng Chong (种政), Ph.D. candidate of Sun Yat-sen University, interested in Efficient AIGC for Fashion.
Language Breakdown
Lines of code distribution across 12 owned repositories
T-Shaped Developer
T-shapedDeep in Python with broad versatility
Collaboration Network
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Repos
14
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
Jing Wang
@jingw193
bagheera
@bghira
Fei Shen
@muzishen
zxbsmk
@ZhengJun-AI
Frank (Haofan) Wang
@haofanwang
Top Repositories
[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).
A repository for organizing papers, codes and other resources related to Virtual Try-on Models
[CVPR 2025 Workshop] CatV2TON is a lightweight DiT-based visual virtual try-on model, capable of supporting try-on for both images and videos.
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.
Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models
🖥️ 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.
Open Source Impact
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