AmitVaisman/Turbo-DDCM
Official implementation of the paper "Turbo-DDCM: Fast and Flexible Zero-shot Diffusion-based Image Compression"
This project helps anyone working with high-resolution digital images who needs to reduce their file size without losing important visual detail. It takes uncompressed images (up to 768x768 pixels) and converts them into significantly smaller binary files, while preserving image quality for later reconstruction. This is ideal for researchers, digital artists, or anyone managing large collections of high-quality imagery.
Use this if you need to efficiently store or transmit large image files, particularly for images where specific regions are more important than others.
Not ideal if you need to compress images smaller than 512x512 pixels or if you require compression for video or other media types.
Stars
10
Forks
—
Language
Python
License
MIT
Category
Last pushed
Nov 11, 2025
Commits (30d)
0
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