# hila-chefer/TargetCLIP

<https://repo.masters-masters.com/en/repos/hila-chefer/TargetCLIP>

[Home](https://repo.masters-masters.com/en) › [hila-chefer](https://repo.masters-masters.com/en/owners/hila-chefer) › [TargetCLIP](https://repo.masters-masters.com/en/repos/hila-chefer/TargetCLIP)

hila-chefer/TargetCLIP has 232 stars on GitHub. Its RepoMasters card: Prototype tier. \[ECCV 2022\] Official PyTorch implementation of the paper Image-Based…

| Field | Value |
| --- | --- |
| Owner | [hila-chefer](https://repo.masters-masters.com/en/owners/hila-chefer) |
| Stars | 232 |
| Forks | 27 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2021 |
| Topics | image-generation, clip, stylegan2, computer-graphics, eccv2022, image-editing, image-manipulation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hila-chefer/TargetCLIP](https://github.com/hila-chefer/TargetCLIP) |

## Repository

\[ECCV 2022\] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

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.