# HymEric/VSR-DUF-Reimplement

<https://repo.masters-masters.com/en/repos/HymEric/VSR-DUF-Reimplement>

[Home](https://repo.masters-masters.com/en) › [HymEric](https://repo.masters-masters.com/en/owners/HymEric) › [VSR-DUF-Reimplement](https://repo.masters-masters.com/en/repos/HymEric/VSR-DUF-Reimplement)

HymEric/VSR-DUF-Reimplement has 109 stars on GitHub. Its RepoMasters card: Prototype tier. It is a re-implementation of paper named "Deep Video…

| Field | Value |
| --- | --- |
| Owner | [HymEric](https://repo.masters-masters.com/en/owners/HymEric) |
| Stars | 109 |
| Forks | 16 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2018 |
| Topics | tensorflow, vsr-duf, sr, vsr, super-resolution, video-super-resolution, training, tested, deep-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [HymEric/VSR-DUF-Reimplement](https://github.com/HymEric/VSR-DUF-Reimplement) |

## Repository

It is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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