Datasets:

future-item
/

autoimagine-puzzle

This dataset contains 22 image-based jigsaw puzzles created from real-world photographs. Each puzzle consists of irregular puzzle pieces that need to be assembled into the complete image.

Dataset Structure

dataset folder
- 00000 ~ 00010 folder
  - Contains several puzzle pieces and their final positions. 0.png is the puzzle with pieces removed, while 1.png ~ 4.png are four individual puzzle pieces. correct.json contains the ground truth positions of the puzzle pieces.
- 00011 ~ 00021 folder
  - Contains several puzzle pieces and their final positions. 0.png is the puzzle with pieces removed, while 1.png ~ 6.png are six individual puzzle pieces. correct.json contains the ground truth positions of the puzzle pieces.
- src folder
  - Contains the source files for generating puzzle datasets. Each dataset (e.g., 00000, 00001) has a corresponding pair of files:
    - {dataset}.png: Original image file that provides the visual content for the puzzle
    - {dataset}.svg: SVG file defining the boundary paths for cutting the image into irregular puzzle pieces
data folder
- Contains the prompts used for the autonomous imagination algorithm;

Resources for More Information

Paper: https://arxiv.org/pdf/2411.18142
Code: https://github.com/future-item/autoimagine

Citation

If you find our work helpful, please consider citing our paper.

@article{liu2024enhancing,
  title={Enhancing visual reasoning with autonomous imagination in multimodal large language models},
  author={Liu, Jingming and Li, Yumeng and Xiao, Boyuan and Jian, Yichang and Qin, Ziang and Shao, Tianjia and Ding, Yao-Xiang and Zhou, Kun},
  journal={arXiv preprint arXiv:2411.18142},
  year={2024}
}