rayli/Drag-a-Move-test-split

The test split of Drag-a-Move dataset

This test set is used to evaluate DragAPart and Puppet-Master.

How to use it?

1. Frame folders & Ground‑truth videos Under the dataset root, each sample has its own sub‑folder.
   Inside each sub‑folder you will find 14 PNG frames extracted from the ground‑truth video:

    {sample_id}/
      cXXX_tYYY.png
      cXXX_tYYY.png
      …
   

   where cXXX is the zero‑padded camera index and tYYY is the zero‑padded frame index.

2. Metadata
   A metadata.json file in the dataset root maps each sample ID to two fields:

   • reverse — true if the original motion runs backward (larger frame index first), otherwise false.
   • per_frame_drags — the sparse motion trajectories as drags. It's an array of shape (14, 5, 4), where it specifies the starting coordinates and ending coordinates of the 5 drags on the 14 frames. The coordinates are normalized to [0, 1] range.

Dataset structure

Drag-a-Move-test-split/
├── 00000/
│   ├── c031_t000.png
│   ├── c031_t010.png
│   └── … (14 frames total)
├── 00001/
│   ├── c005_t020.png
│   └── …
├── …
├── metadata.json
└── README.md

Citation

@article{li2024dragapart,
  title     = {DragAPart: Learning a Part-Level Motion Prior for Articulated Objects},
  author    = {Li, Ruining and Zheng, Chuanxia and Rupprecht, Christian and Vedaldi, Andrea},
  journal   = {arXiv preprint arXiv:2403.15382},
  year      = {2024}
}

@article{li2024puppetmaster,
  title     = {Puppet-Master: Scaling Interactive Video Generation as a Motion Prior for Part-Level Dynamics},
  author    = {Li, Ruining and Zheng, Chuanxia and Rupprecht, Christian and Vedaldi, Andrea},
  journal   = {arXiv preprint arXiv:2408.04631},
  year      = {2024}
}