dcscn-super-resolution
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
Enhance image quality using a deep learning model designed for super-resolution.
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Free · no card · unsubscribe anytimeA tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
dcscn-super-resolution has 713 stars on GitHub. It has been forked 219 times. dcscn-super-resolution is written mainly in Python. It has been in active development since 2017. dcscn-super-resolution is available under the MIT license. Its main topics are computer-vision, deep-learning, python, super-resolution.
What is dcscn-super-resolution?
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
Is dcscn-super-resolution open source?
dcscn-super-resolution is an open-source project. It is released under the MIT license.
Is dcscn-super-resolution free?
Yes. dcscn-super-resolution is free and open source — you can use, modify and self-host it.
What license does dcscn-super-resolution use?
dcscn-super-resolution is available under the MIT license.
What language is dcscn-super-resolution written in?
dcscn-super-resolution is written mainly in Python.
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