caoscott/SReC
PyTorch implementation of SReC, a neural-network-based lossless image compression method that frames compression as a super-resolution problem.
Not currently ranked — collecting fresh signals.
star history
This repository implements the SReC method for lossless image compression using neural networks. It frames lossless compression as a super-resolution problem and achieves state-of-the-art compression rates on datasets like ImageNet64 and Open Images. The project provides training, compression, and decompression utilities with pre-trained model weights released.
Frequently asked
- What is caoscott/SReC?
- PyTorch implementation of SReC, a neural-network-based lossless image compression method that frames compression as a super-resolution problem.
- Is SReC open source?
- Yes — caoscott/SReC is open source, released under the MIT license.
- What language is SReC written in?
- caoscott/SReC is primarily written in Python.
- How popular is SReC?
- caoscott/SReC has 1.1k stars on GitHub.
- Where can I find SReC?
- caoscott/SReC is on GitHub at https://github.com/caoscott/SReC.