# hzwer/WACV2024-SAFA

<https://repo.masters-masters.com/en/repos/hzwer/WACV2024-SAFA>

[Home](https://repo.masters-masters.com/en) › [hzwer](https://repo.masters-masters.com/en/owners/hzwer) › [WACV2024-SAFA](https://repo.masters-masters.com/en/repos/hzwer/WACV2024-SAFA)

hzwer/WACV2024-SAFA has 172 stars on GitHub. Its RepoMasters card: Prototype tier. WACV2024 - Scale-Adaptive Feature Aggregation for Efficient Space-Time…

| Field | Value |
| --- | --- |
| Owner | [hzwer](https://repo.masters-masters.com/en/owners/hzwer) |
| Stars | 172 |
| Forks | 11 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | computer-vision, deep-learning, super-resolution, video-processing |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hzwer/WACV2024-SAFA](https://github.com/hzwer/WACV2024-SAFA) |

## Repository

WACV2024 - Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution

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

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