zhiyuanyou/Datasets-PhotoFramer-Assessment

PhotoFramer Composition Assessment Datasets

Composition Assessment Datasets ( project page / codes / paper ) in our PhotoFramer project.

Dataset Construction

• Download our meta files in this repo.

• Download all source images from AVA, CADB, GAIC, and KUPCP datasets.

• Arrange the folders as follows. Note that train_img_1024 and test_img_1024 folders (under KU_PCP_Dataset folder) are generated by running resize_img.py (under KU_PCP_Dataset folder).

|-- PhotoFramer-Assessment
  |-- Datasets
    |-- AVA_dataset
      |-- ava_images/*.jpg
      |-- metas
    |-- CADB_Dataset
      |-- images/*.jpg
      |-- metas
    |-- GAIC
      |-- images/train/*.jpg
      |-- images/test/*.jpg
      |-- metas
    |-- KU_PCP_Dataset
      |-- train_img/*.jpg
      |-- train_img_1024/*.jpg
      |-- test_img/*.jpg
      |-- test_img_1024/*.jpg
      |-- metas
      |-- resize_img.py

Citation

If you find our work useful for your research and applications, please cite using the BibTeX:

@inproceedings{photoframer,
    title={PhotoFramer: Multi-modal Image Composition Instruction},
    author={You, Zhiyuan and Wang, Ke and Zhang, He and Cai, Xin and Gu, Jinjin and Xue, Tianfan and Dong, Chao and Zhang, Zhoutong},
    booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition},
    year={2026}
}