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README.md
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- split: train
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path: text_prompt/train-*
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---
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- split: train
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path: text_prompt/train-*
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---
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---
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license: mit
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task_categories:
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- image-to-image
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language:
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- en
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pretty_name: a
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size_categories:
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- 10M<n<100M
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---
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# AnyInsertion
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<p align="center">
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<a href="https://song-wensong.github.io/"><strong>Wensong Song</strong></a>
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·
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<a href="https://openreview.net/profile?id=~Hong_Jiang4"><strong>Hong Jiang</strong></a>
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·
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<a href="https://z-x-yang.github.io/"><strong>Zongxing Yang</strong></a>
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·
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<a href="https://scholar.google.com/citations?user=WKLRPsAAAAAJ&hl=en"><strong>Ruijie Quan</strong></a>
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·
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<a href="https://scholar.google.com/citations?user=RMSuNFwAAAAJ&hl=en"><strong>Yi Yang</strong></a>
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<br>
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<br>
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<a href="https://arxiv.org/pdf/2504.15009" style="display: inline-block; margin-right: 10px;">
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<img src='https://img.shields.io/badge/arXiv-InsertAnything-red?color=%23aa1a1a' alt='Paper PDF'>
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</a>
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<a href='https://song-wensong.github.io/insert-anything/' style="display: inline-block; margin-right: 10px;">
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<img src='https://img.shields.io/badge/Project%20Page-InsertAnything-cyan?logoColor=%23FFD21E&color=%23cbe6f2' alt='Project Page'>
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</a>
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<a href='https://github.com/song-wensong/insert-anything' style="display: inline-block;">
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<img src='https://img.shields.io/badge/GitHub-InsertAnything-black?logoColor=23FFD21E&color=%231d2125'>
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</a>
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<br>
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<b>Zhejiang University | Harvard University | Nanyang Technological University </b>
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</p>
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## News
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* <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>
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* **[2025.5.7]** Release **AnyInsertion** v1 text prompt dataset on HuggingFace.
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* **[2025.4.24]** Release **AnyInsertion** v1 mask prompt dataset on HuggingFace.
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## Summary
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This is the dataset proposed in our paper [**Insert Anything: Image Insertion via In-Context Editing in DiT**](https://arxiv.org/abs/2504.15009)
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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.
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AnyInsertion dataset covers diverse categories including human subjects, daily necessities, garments, furniture, and various objects.
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## Directory
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```
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├── text_prompt/
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│ ├── train/
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│ │ ├── accessory/
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│ │ │ ├── ref_image/ # Reference image containing the element to be inserted
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│ │ │ ├── ref_mask/ # The mask corresponding to the inserted element
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│ │ │ ├── tar_image/ # Ground truth
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│ │ │ └── src_image/ # Source images
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│ │ │ ├── add/ # Source image with the inserted element from Ground Truth removed
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│ │ │ └── replace/ # Source image where the inserted element in Ground Truth is replaced
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│ │ ├── object/
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│ │ │ ├── ref_image/
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│ │ │ ├── ref_mask/
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│ │ │ ├── tar_image/
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│ │ │ └── src_image/
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│ │ │ ├── add/
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│ │ │ └── replace/
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│ │ └── person/
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│ │ ├── ref_image/
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│ │ ├── ref_mask/
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│ │ ├── tar_image/
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│ │ └── src_image/
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│ │ ├── add/
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│ │ └── replace/
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│ └── test/
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│ ├── garment/
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│ │ ├── ref_image/
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│ │ ├── ref_mask/
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│ │ ├── tar_image/
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│ │ └── src_image/
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│ └── object/
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│ ├── ref_image/
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│ ├── ref_mask/
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│ ├── tar_image/
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│ └── src_image/
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│
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├── mask_prompt/
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│ ├── train/
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│ │ ├── accessory/
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│ │ │ ├── ref_image/
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│ │ │ ├── ref_mask/
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│ │ │ ├── tar_image/
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│ │ │ ├── tar_mask/ # The mask corresponding to the edited area of target image
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│ │ ├── object/
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│ │ │ ├── ref_image/
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│ │ │ ├── ref_mask/
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│ │ │ ├── tar_image/
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│ │ │ ├── tar_mask/
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│ │ └── person/
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│ │ ├── ref_image/
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│ │ ├── ref_mask/
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│ │ ├── tar_image/
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│ │ ├── tar_mask/
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│ └── test/
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│ ├── garment/
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│ │ ├── ref_image/
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│ │ ├── ref_mask/
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│ │ ├── tar_image/
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│ │ ├── tar_mask/
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│ ├── object/
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│ │ ├── ref_image/
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│ │ ├── ref_mask/
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│ │ ├── tar_image/
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│ │ ├── tar_mask/
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│ └── person/
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│ ├── ref_image/
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│ ├── ref_mask/
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│ ├── tar_image/
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│ ├── tar_mask/
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```
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## Example
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<div style="display: flex; text-align: center; align-items: center; justify-content: space-between;">
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<figure style="margin: 10px; width: calc(25% - 20px);">
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<img src="examples/ref_image.png" alt="Ref_image" style="width: 100%;">
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<figcaption>Ref_image</figcaption>
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</figure>
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<figure style="margin: 10px; width: calc(25% - 20px);">
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<img src="examples/ref_mask.png" alt="Ref_mask" style="width: 100%;">
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<figcaption>Ref_mask</figcaption>
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</figure>
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<figure style="margin: 10px; width: calc(25% - 20px);">
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<img src="examples/tar_image.png" alt="Tar_image" style="width: 100%;">
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<figcaption>Tar_image</figcaption>
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</figure>
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<figure style="margin: 10px; width: calc(25% - 20px);">
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<img src="examples/tar_mask.png" alt="Tar_mask" style="width: 100%;">
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<figcaption>Tar_mask</figcaption>
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</figure>
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<figure style="margin: 10px; width: calc(25% - 20px);">
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<img src="examples/add.png" alt="Add" style="width: 100%;">
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<figcaption>Add</figcaption>
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</figure>
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<figure style="margin: 10px; width: calc(25% - 20px);">
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<img src="examples/replace.png" alt="Replace" style="width: 100%;">
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<figcaption>Replace</figcaption>
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</figure>
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</div>
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### Text Prompt
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Add Prompt: Add [label from `tar_image` (in label.json) ]</p>
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Replace Prompt: Replace [label from `src_image` (in src_image/replace/replace_label.json) ] with [label from `tar_image` (in label.json) ]
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## Citation
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```
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@article{song2025insert,
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title={Insert Anything: Image Insertion via In-Context Editing in DiT},
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author={Song, Wensong and Jiang, Hong and Yang, Zongxing and Quan, Ruijie and Yang, Yi},
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journal={arXiv preprint arXiv:2504.15009},
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year={2025}
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}
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```
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