Justin-Tan/high-fidelity-generative-compression

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

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Emerging

This project helps anyone who needs to significantly reduce the file size of digital images while keeping them looking high-quality and visually appealing. You input a large image file, and it outputs a much smaller, compressed image that still looks great to the human eye, enabling efficient storage and transmission. This is ideal for photographers, digital artists, or content managers who deal with large volumes of images.

476 stars. No commits in the last 6 months.

Use this if you need to drastically shrink image file sizes for web, social media, or archives without noticeable visual degradation for general viewing.

Not ideal if you require exact pixel-perfect fidelity or are handling sensitive images like medical scans or legal documents where any alteration is unacceptable.

digital-photography image-asset-management web-content-optimization visual-content-creation digital-archiving
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 22 / 25

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Stars

476

Forks

82

Language

Python

License

Apache-2.0

Last pushed

May 02, 2023

Commits (30d)

0

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