yikaiwang/MISATO

Towards Enhanced Image Inpainting:
Mitigating Unwanted Object Insertion and Preserving Color Consistency

Yikai Wang*, Chenjie Cao*, Junqiu Yu*, Ke Fan, Xiangyang Xue, Yanwei Fu†.
Fudan University
CVPR 2025 (Highlight)

Overview

This repo contains the proposed MISATO dataset in our paper "Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency". The corresponding code can be found at here. We are actively working to improve both our model and evaluation dataset. If you encounter failure cases with ASUKA (FLUX.1-Fill) or have challenging examples in image inpainting, we would love to hear from you. Please email them to [email protected]. We truly appreciate your contributions!

Disclaimer

This MISATO dataset is intended to use for reserach purpose only, and we respect all the license of used models and codes. Users are granted the freedom to create images using this tool, but they are expected to comply with local laws and utilize it in a responsible manner. The developers do not assume any responsibility for potential misuse by users.

The authors do not own the image copyrights. Please follow the original dataset's license. We appreciate the contributions of Matterport3D, FlickrLandscape, MegaDepth, and COCO 2014.

To use Matterport3D, you must indicate that you agree to the terms of use by signing the Terms of Use agreement form, using your institutional email addresses, and sending it to: [email protected].

Structure

After unzipping the file, you will find two folders: one for 512 resolution and one for 1024. Each folder has the following structure:

|-image
  |- 0000.png
  ...
  |- 1999.png
|-mask
  |- 0000.png
  ...
  |- 1999.png

The numbers 0000-0499 represent outdoor landscapes, 0500-0999 represent indoor scenes, 1000-1499 represent buildings, and 1500-1999 represent backgrounds. The MISATO@1K version includes only 1500 image-mask pairs, as the COCO dataset lacks enough high-resolution images.

BibTeX

If you find our repo helpful, please consider cite our paper :)

@inproceedings{wang2025towards,
  title={Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency.},
  author={Wang, Yikai and Cao, Chenjie and Yu, Junqiu and Fan, Ke and Xue, Xiangyang and Fu, Yanwei},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  year={2025}
}