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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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data/ |
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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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``` |
