I
image-super-resolution
idealo/image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
★4.8kstars
Python
Apache-2.0
Updated: 4d ago
📋 Project at a Glance
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What's this?Models project leveraging aws and computer-vision, built with Python, open-source
Who made it?Maintained by idealo team, 4.8K⭐ on GitHub, #305 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the idealo team identified the need for better aws solutions. image-super-resolution was created to simplify computer-vision workflows.
What can it do?Key use cases: convolutional-neural-networks, deep-learning, docker
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/idealo/image-super-resolution | 官网 https://idealo.github.io/image-super-resolution/
🔗 github.com/idealo/image-super-resolution | 官网 https://idealo.github.io/image-super-resolution/
Topics
awscomputer-visionconvolutional-neural-networksdeep-learningdockere-commerceidealoimage-processingimage-super-resolutionkerasmachine-learningneural-networknvidia-dockersuper-resolutiontensorflow