# inbarhub/DDPM\_inversion

<https://repo.masters-masters.com/en/repos/inbarhub/DDPM_inversion>

[Home](https://repo.masters-masters.com/en) › [inbarhub](https://repo.masters-masters.com/en/owners/inbarhub) › [DDPM\_inversion](https://repo.masters-masters.com/en/repos/inbarhub/DDPM_inversion)

inbarhub/DDPM\_inversion has 364 stars on GitHub. Its RepoMasters card: Alpha tier. Official pytorch implementation of the paper: "An Edit Friendly DDPM Noise…

| Field | Value |
| --- | --- |
| Owner | [inbarhub](https://repo.masters-masters.com/en/owners/inbarhub) |
| Stars | 364 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | ddpm, editing, generative-model, inversion, latent-space, text-guided-image-editing, text-guided-image-manipulation |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [inbarhub/DDPM\_inversion](https://github.com/inbarhub/DDPM_inversion) |

## Repository

Official pytorch implementation of the paper: "An Edit Friendly DDPM Noise Space: Inversion and Manipulations". CVPR 2024.

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.