# researchmm/STTN

<https://repo.masters-masters.com/en/repos/researchmm/STTN>

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

researchmm/STTN has 559 stars on GitHub. Its RepoMasters card: Alpha tier. \[ECCV'2020\] STTN: Learning Joint Spatial-Temporal Transformations for Video…

| Field | Value |
| --- | --- |
| Owner | [researchmm](https://repo.masters-masters.com/en/owners/researchmm) |
| Stars | 559 |
| Forks | 81 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | video-inpainting, completing-videos, transformer, spatial-temporal |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [researchmm/STTN](https://github.com/researchmm/STTN) |

## Repository

\[ECCV'2020\] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

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.