ApexGen-X/MergeVQ
[CVPR'25] MergeVQ: A Unified Framework for Visual Generation and Representation with Token Merging and Quantization
This project offers a new way to create and understand images using a unified system. It takes in existing images and processes them to generate new ones or extract key visual information, making image generation faster and more efficient. This is ideal for researchers and developers working on advanced image synthesis and analysis.
No commits in the last 6 months.
Use this if you need to both generate high-quality images and learn meaningful representations from visual data, especially for academic research in computer vision.
Not ideal if you are looking for an off-the-shelf application for immediate use, as this is a research framework requiring technical expertise for implementation.
Stars
47
Forks
3
Language
Python
License
Apache-2.0
Last pushed
Jul 22, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/ApexGen-X/MergeVQ"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.