# ML-GSAI/SDE-Drag

<https://repo.masters-masters.com/en/repos/ML-GSAI/SDE-Drag>

[Home](https://repo.masters-masters.com/en) › [ML-GSAI](https://repo.masters-masters.com/en/owners/ML-GSAI) › [SDE-Drag](https://repo.masters-masters.com/en/repos/ML-GSAI/SDE-Drag)

ML-GSAI/SDE-Drag has 113 stars on GitHub. Its RepoMasters card: Prototype tier. Official PyTorch implementation for ICLR2024 paper "The Blessing of…

| Field | Value |
| --- | --- |
| Owner | [ML-GSAI](https://repo.masters-masters.com/en/owners/ML-GSAI) |
| Stars | 113 |
| Forks | 4 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ML-GSAI/SDE-Drag](https://github.com/ML-GSAI/SDE-Drag) |

## Repository

Official PyTorch implementation for ICLR2024 paper "The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing"

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.
