# msu-video-group/memfof

<https://repo.masters-masters.com/en/repos/msu-video-group/memfof>

[Home](https://repo.masters-masters.com/en) › [msu-video-group](https://repo.masters-masters.com/en/owners/msu-video-group) › [memfof](https://repo.masters-masters.com/en/repos/msu-video-group/memfof)

msu-video-group/memfof has 110 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICCV'2025 Highlight\] MEMFOF: High-Resolution Training for…

| Field | Value |
| --- | --- |
| Owner | [msu-video-group](https://repo.masters-masters.com/en/owners/msu-video-group) |
| Stars | 110 |
| Forks | 5 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-3-Clause |
| Created | 2025 |
| Topics | deep-learning, optical-flow, pytorch, video |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [msu-video-group/memfof](https://github.com/msu-video-group/memfof) |

## Repository

\[ICCV'2025 Highlight\] MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation

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.