dcscn-super-resolution

jiny2001

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.

tensorflow deep-learning

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711 Stars

219 Forks

711 Watchers

Python Language

mit License

Cost to Build

$38.49M

Market Value

$143.73M

How is this calculated?

Growth over time

7 data points · 2021-08-01 → 2025-07-01

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What is the jiny2001/dcscn-super-resolution GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone dcscn-super-resolution

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git clone https://github.com/jiny2001/dcscn-super-resolution.git

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[email protected]:jiny2001/dcscn-super-resolution.git

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Download master.zip

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