# twhui/LiteFlowNet3

<https://repo.masters-masters.com/en/repos/twhui/LiteFlowNet3>

[Home](https://repo.masters-masters.com/en) › [twhui](https://repo.masters-masters.com/en/owners/twhui) › [LiteFlowNet3](https://repo.masters-masters.com/en/repos/twhui/LiteFlowNet3)

twhui/LiteFlowNet3 has 290 stars on GitHub. Its RepoMasters card: Alpha tier. LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow…

| Field | Value |
| --- | --- |
| Owner | [twhui](https://repo.masters-masters.com/en/owners/twhui) |
| Stars | 290 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | liteflownet3, computer-vision, cnn, deeplearning, opitcal-flow, eccv2020, flow-warping, cost-volume-modulation, flow-field-deformation, flow-propagation |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [twhui/LiteFlowNet3](https://github.com/twhui/LiteFlowNet3) |

## Repository

LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation, ECCV 2020

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.