Nikolai10/MRIC

TensorFlow implementation of MRIC (Multi-Realism Image Compression with a Conditional Generator, CVPR 2023)

29
/ 100
Experimental

This tool helps researchers and content creators compress images efficiently while maintaining control over how realistic or accurate the reconstructed image appears. You input a high-quality image, and it outputs a highly compressed version that can be reconstructed to balance detail and fidelity. It's ideal for anyone needing to manage large volumes of images where file size and visual quality are critical, such as in scientific imaging or media archives.

No commits in the last 6 months.

Use this if you need to compress images significantly but also require flexibility in reconstructing them to either closely match the original or synthesize more visually appealing details, especially for low-bandwidth scenarios.

Not ideal if your primary concern is pixel-perfect, lossless compression where any synthesized detail is unacceptable.

image-compression digital-media-management visual-content-delivery computational-photography
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 6 / 25

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Stars

31

Forks

2

Language

Python

License

Apache-2.0

Last pushed

Jan 14, 2024

Commits (30d)

0

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