S
SRGAN
tensorlayer/SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
★3.5kstars
Python
Updated: 1w ago
📋 Project at a Glance
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What's this?A cnn/gan tool in the Models category, built with Python, open-source
Who made it?Maintained by tensorlayer team, 3.5K⭐ on GitHub, #434 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the tensorlayer team identified the need for better cnn solutions. SRGAN was created to simplify gan workflows.
What can it do?Key use cases: srgan, super-resolution, tensorflow
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/tensorlayer/SRGAN | 官网 https://github.com/tensorlayer/tensorlayerx
🔗 github.com/tensorlayer/SRGAN | 官网 https://github.com/tensorlayer/tensorlayerx
Topics
cnngansrgansuper-resolutiontensorflowtensorlayervggvgg16vgg19