# avinashpaliwal/Super-SloMo

<https://repo.masters-masters.com/en/repos/avinashpaliwal/Super-SloMo>

[Home](https://repo.masters-masters.com/en) › [avinashpaliwal](https://repo.masters-masters.com/en/owners/avinashpaliwal) › [Super-SloMo](https://repo.masters-masters.com/en/repos/avinashpaliwal/Super-SloMo)

avinashpaliwal/Super-SloMo has 3,020 stars on GitHub. Its RepoMasters card: RC tier. PyTorch implementation of Super SloMo by Jiang et al. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [avinashpaliwal](https://repo.masters-masters.com/en/owners/avinashpaliwal) |
| Stars | 3,020 |
| Forks | 479 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | video-frame-interpolation, super-slomo, pytorch-implmention, pytorch, slow-motion, deep-learning, deep-neural-networks, convolutional-neural-networks, frame-interpolation, slomo |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [avinashpaliwal/Super-SloMo](https://github.com/avinashpaliwal/Super-SloMo) |

## Repository

PyTorch implementation of Super SloMo by Jiang et al.

Archived: this repository is read-only

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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