# gmkim-ai/Diffusion-Video-Autoencoders

<https://repo.masters-masters.com/en/repos/gmkim-ai/Diffusion-Video-Autoencoders>

[Home](https://repo.masters-masters.com/en) › [gmkim-ai](https://repo.masters-masters.com/en/owners/gmkim-ai) › [Diffusion-Video-Autoencoders](https://repo.masters-masters.com/en/repos/gmkim-ai/Diffusion-Video-Autoencoders)

gmkim-ai/Diffusion-Video-Autoencoders has 152 stars on GitHub. Its RepoMasters card: Prototype tier. An official implementation of "Diffusion Video…

| Field | Value |
| --- | --- |
| Owner | [gmkim-ai](https://repo.masters-masters.com/en/owners/gmkim-ai) |
| Stars | 152 |
| Forks | 8 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | cvpr2023, deep-learning, pytorch, video |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [gmkim-ai/Diffusion-Video-Autoencoders](https://github.com/gmkim-ai/Diffusion-Video-Autoencoders) |

## Repository

An official implementation of "Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding" (CVPR 2023) in PyTorch.

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.