https://github.com/unilight/generative-compression

Tensorflow implementation of paper Generative Compression.
https://github.com/unilight/generative-compression

gan generative-adversarial-network image-compression tensorflow wgan-gp

Last synced: about 2 months ago
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Tensorflow implementation of paper Generative Compression.

• Host: GitHub
• URL: https://github.com/unilight/generative-compression
• Owner: unilight
• Created: 2018-06-27T11:03:55.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-06-28T08:37:37.000Z (over 6 years ago)
• Last Synced: 2024-12-03T21:40:19.382Z (2 months ago)
• Topics: gan, generative-adversarial-network, image-compression, tensorflow, wgan-gp
• Language: Python
• Homepage: https://arxiv.org/pdf/1703.01467.pdf
• Size: 11.7 KB
• Stars: 4
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Generative-Compression

- This is a Tensorflow implementation of the paper [Generative Compression](https://arxiv.org/pdf/1703.01467.pdf), a framework desinged to achieve image/video compression using generative adversarial networks (GANs).

- This is a term project for the Video Communication course I took in my senior year in the department of CSIE, National Taiwan University. The goal of this project is trying to improve the quality of the reconstructed images, so I did not strictly follow the original architecture and training details.

- Questions and discussions are welcome.

## Dependency