# leftthomas/ESPCN

<https://repo.masters-masters.com/en/repos/leftthomas/ESPCN>

[Home](https://repo.masters-masters.com/en) › [leftthomas](https://repo.masters-masters.com/en/owners/leftthomas) › [ESPCN](https://repo.masters-masters.com/en/repos/leftthomas/ESPCN)

leftthomas/ESPCN has 575 stars on GitHub. Its RepoMasters card: Alpha tier. A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image…

| Field | Value |
| --- | --- |
| Owner | [leftthomas](https://repo.masters-masters.com/en/owners/leftthomas) |
| Stars | 575 |
| Forks | 123 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Topics | superresolution, cnn, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [leftthomas/ESPCN](https://github.com/leftthomas/ESPCN) |

## Repository

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.