Datasets:

WensongSong
/

AnyInsertion

	---
	license: mit
	task_categories:
	- image-to-image
	language:
	- en
	pretty_name: a
	size_categories:
	- 10M<n<100M
	---
	# AnyInsertion
	<p align="center">
	<a href="https://song-wensong.github.io/"><strong>Wensong Song</strong></a>
	·
	<a href="https://openreview.net/profile?id=~Hong_Jiang4"><strong>Hong Jiang</strong></a>
	·
	<a href="https://z-x-yang.github.io/"><strong>Zongxing Yang</strong></a>
	·
	<a href="https://scholar.google.com/citations?user=WKLRPsAAAAAJ&hl=en"><strong>Ruijie Quan</strong></a>
	·
	<a href="https://scholar.google.com/citations?user=RMSuNFwAAAAJ&hl=en"><strong>Yi Yang</strong></a>
	<br>
	<br>
	<a href="https://arxiv.org/pdf/2504.15009" style="display: inline-block; margin-right: 10px;">
	<img src='https://img.shields.io/badge/arXiv-InsertAnything-red?color=%23aa1a1a' alt='Paper PDF'>
	</a>
	<a href='https://song-wensong.github.io/insert-anything/' style="display: inline-block; margin-right: 10px;">
	<img src='https://img.shields.io/badge/Project%20Page-InsertAnything-cyan?logoColor=%23FFD21E&color=%23cbe6f2' alt='Project Page'>
	</a>
	<a href='https://github.com/song-wensong/insert-anything' style="display: inline-block;">
	<img src='https://img.shields.io/badge/GitHub-InsertAnything-black?logoColor=23FFD21E&color=%231d2125'>
	</a>
	<br>
	<b>Zhejiang University   \|   Harvard University   \|   Nanyang Technological University </b>
	</p>

	## News
	* <span style="color:red">[2025.5.9] Release new AnyInsertion v1 text- and mask-prompt dataset on [HuggingFace](https://huggingface.co/datasets/WensongSong/AnyInsertion_V1).</span>
	* [2025.5.7] Release AnyInsertion v1 text prompt dataset on HuggingFace.
	* [2025.4.24] Release AnyInsertion v1 mask prompt dataset on HuggingFace.


	## Summary
	This is the dataset proposed in our paper [Insert Anything: Image Insertion via In-Context Editing in DiT](https://arxiv.org/abs/2504.15009)

	AnyInsertion dataset consists of training and testing subsets. The training set includes 136,385 samples across two prompt types: 58,188 mask-prompt image pairs and 78,197 text-prompt image pairs;the test set includes 158 data pairs: 120 mask-prompt pairs and 38 text-prompt pairs.

	AnyInsertion dataset covers diverse categories including human subjects, daily necessities, garments, furniture, and various objects.


	![alt text](dataset_categories.png)


	## Directory

	```



	data/
	├── text_prompt/
	│ ├── train/
	│ │ ├── accessory/
	│ │ │ ├── ref_image/ # Reference image containing the element to be inserted
	│ │ │ ├── ref_mask/ # The mask corresponding to the inserted element
	│ │ │ ├── tar_image/ # Ground truth
	│ │ │ └── src_image/ # Source images
	│ │ │ ├── add/ # Source image with the inserted element from Ground Truth removed
	│ │ │ └── replace/ # Source image where the inserted element in Ground Truth is replaced
	│ │ ├── object/
	│ │ │ ├── ref_image/
	│ │ │ ├── ref_mask/
	│ │ │ ├── tar_image/
	│ │ │ └── src_image/
	│ │ │ ├── add/
	│ │ │ └── replace/
	│ │ └── person/
	│ │ ├── ref_image/
	│ │ ├── ref_mask/
	│ │ ├── tar_image/
	│ │ └── src_image/
	│ │ ├── add/
	│ │ └── replace/
	│ └── test/
	│ ├── garment/
	│ │ ├── ref_image/
	│ │ ├── ref_mask/
	│ │ ├── tar_image/
	│ │ └── src_image/
	│ └── object/
	│ ├── ref_image/
	│ ├── ref_mask/
	│ ├── tar_image/
	│ └── src_image/
	│
	├── mask_prompt/
	│ ├── train/
	│ │ ├── accessory/
	│ │ │ ├── ref_image/
	│ │ │ ├── ref_mask/
	│ │ │ ├── tar_image/
	│ │ │ ├── tar_mask/ # The mask corresponding to the edited area of target image
	│ │ ├── object/
	│ │ │ ├── ref_image/
	│ │ │ ├── ref_mask/
	│ │ │ ├── tar_image/
	│ │ │ ├── tar_mask/
	│ │ └── person/
	│ │ ├── ref_image/
	│ │ ├── ref_mask/
	│ │ ├── tar_image/
	│ │ ├── tar_mask/
	│ └── test/
	│ ├── garment/
	│ │ ├── ref_image/
	│ │ ├── ref_mask/
	│ │ ├── tar_image/
	│ │ ├── tar_mask/
	│ ├── object/
	│ │ ├── ref_image/
	│ │ ├── ref_mask/
	│ │ ├── tar_image/
	│ │ ├── tar_mask/
	│ └── person/
	│ ├── ref_image/
	│ ├── ref_mask/
	│ ├── tar_image/
	│ ├── tar_mask/






	```



	## Example

	<div style="display: flex; text-align: center; align-items: center; justify-content: space-between;">
	<figure style="margin: 10px; width: calc(25% - 20px);">
	<img src="examples/ref_image.png" alt="Ref_image" style="width: 100%;">
	<figcaption>Ref_image</figcaption>
	</figure>
	<figure style="margin: 10px; width: calc(25% - 20px);">
	<img src="examples/ref_mask.png" alt="Ref_mask" style="width: 100%;">
	<figcaption>Ref_mask</figcaption>
	</figure>
	<figure style="margin: 10px; width: calc(25% - 20px);">
	<img src="examples/tar_image.png" alt="Tar_image" style="width: 100%;">
	<figcaption>Tar_image</figcaption>
	</figure>
	<figure style="margin: 10px; width: calc(25% - 20px);">
	<img src="examples/tar_mask.png" alt="Tar_mask" style="width: 100%;">
	<figcaption>Tar_mask</figcaption>
	</figure>
	<figure style="margin: 10px; width: calc(25% - 20px);">
	<img src="examples/add.png" alt="Add" style="width: 100%;">
	<figcaption>Add</figcaption>
	</figure>
	<figure style="margin: 10px; width: calc(25% - 20px);">
	<img src="examples/replace.png" alt="Replace" style="width: 100%;">
	<figcaption>Replace</figcaption>
	</figure>
	</div>

	### Text Prompt
	Add Prompt: Add [label from `tar_image` (in label.json) ]</p>
	Replace Prompt: Replace [label from `src_image` (in src_image/replace/replace_label.json) ] with [label from `tar_image` (in label.json) ]


	## Citation
	```
	@article{song2025insert,
	title={Insert Anything: Image Insertion via In-Context Editing in DiT},
	author={Song, Wensong and Jiang, Hong and Yang, Zongxing and Quan, Ruijie and Yang, Yi},
	journal={arXiv preprint arXiv:2504.15009},
	year={2025}
	}
	```