# lliuz/ARFlow

<https://repo.masters-masters.com/en/repos/lliuz/ARFlow>

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

lliuz/ARFlow has 269 stars on GitHub. Its RepoMasters card: Alpha tier. The official PyTorch implementation of the paper "Learning by Analogy: Reliable…

| Field | Value |
| --- | --- |
| Owner | [lliuz](https://repo.masters-masters.com/en/owners/lliuz) |
| Stars | 269 |
| Forks | 51 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | optical-flow, unsupervised-learning, self-supervised-learning, pytorch, cvpr2020 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [lliuz/ARFlow](https://github.com/lliuz/ARFlow) |

## Repository

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

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.