high-fidelity-generative-compression
Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression
Compress images efficiently while maintaining quality, using a model that learns from data to improve results.
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high-fidelity-generative-compression has 475 stars on GitHub. It has been forked 81 times. high-fidelity-generative-compression is written mainly in Python. It has been in active development since 2020. high-fidelity-generative-compression is available under the Apache-2.0 license. Its main topics are computer-vision, entropy-coding, generative-adversarial-networks, image-compression.
What is high-fidelity-generative-compression?
Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression
Is high-fidelity-generative-compression open source?
high-fidelity-generative-compression is an open-source project. It is released under the Apache-2.0 license.
Is high-fidelity-generative-compression free?
Yes. high-fidelity-generative-compression is free and open source — you can use, modify and self-host it.
What license does high-fidelity-generative-compression use?
high-fidelity-generative-compression is available under the Apache-2.0 license.
What language is high-fidelity-generative-compression written in?
high-fidelity-generative-compression is written mainly in Python.
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