# zzh-tech/ESTRNN

<https://repo.masters-masters.com/en/repos/zzh-tech/ESTRNN>

[Home](https://repo.masters-masters.com/en) › [zzh-tech](https://repo.masters-masters.com/en/owners/zzh-tech) › [ESTRNN](https://repo.masters-masters.com/en/repos/zzh-tech/ESTRNN)

zzh-tech/ESTRNN has 335 stars on GitHub. Its RepoMasters card: Alpha tier. \[IJCV\]\[ECCV2020 Spotlight\] Efficient Spatio-Temporal Recurrent Neural Network for…

| Field | Value |
| --- | --- |
| Owner | [zzh-tech](https://repo.masters-masters.com/en/owners/zzh-tech) |
| Stars | 335 |
| Forks | 42 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | video-deblurring, dataset, real-world-data, deep-learning, deblurring, motion-blur, eccv2020 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [zzh-tech/ESTRNN](https://github.com/zzh-tech/ESTRNN) |

## Repository

\[IJCV\]\[ECCV2020 Spotlight\] Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring

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.