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---
license: cc-by-nc-sa-4.0
arxiv: 2502.0405
pretty_name: PartEdit
---
<div align="center">
[](https://arxiv.org/abs/2502.04050)
[](https://gorluxor.github.io/part-edit/)
[](https://dl.acm.org/doi/10.1145/3721238.3730747)
[](https://huggingface.co/spaces/Aleksandar/PartEdit)
</div>
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
<!-- This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). -->
This is part of the release of [PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models](https://arxiv.org/abs/2502.04050), which was accepted in Siggraph 2025.
Contains extra custom images/masks used for optimizing embeddings for some of the classes. Additionally, the embeddings used in the demo/inference are hosted here in pt/safetensor folders.
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
```
@inproceedings{cvejic2025partedit,
title={PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models},
author={Cvejic, Aleksandar and Eldesokey, Abdelrahman and Wonka, Peter},
booktitle={Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers},
pages={1--11},
year={2025}
}
```
**APA:**
```
Cvejic, A., Eldesokey, A., & Wonka, P. (2025, August). PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models. In Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers (pp. 1-11).
```
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