zeweizhang/TrajLoomDatasets

TrajLoom: Dense Future Trajectory Generation from Video

Zewei Zhang    Jia Jun Cheng Xian    Kaiwen Liu    Ming Liang    Hang Chu    Jun Chen    Renjie Liao

   

More details, code, model checkpoints, and future training scripts can be found in the GitHub repository.

TrajLoomDatasets

TrajLoomDatasets contains the released data bundles for TrajLoom, including videos, AllTracker-processed trajectories, and cache files used for dense future trajectory generation and benchmarking.

The dataset is distributed as zip files at the repository root for easier upload and download.

Repository layout on Hugging Face

After downloading from Hugging Face, the root folder should look like this:

/TrajLoomDataset/
  kubric_alltracker_s32.zip
  robotap_alltracker_s32.zip
  kinetics_alltracker_s32.zip
  kinetics_video.zip
  robotap_video.zip
  kubric_video.zip
  magicdata_video.zip
  magicdata_alltracker_s32.zip
  cache.zip
  README.md
  LICENSE

Quick download

Option 1: clone the full dataset repository

git lfs install
git clone https://huggingface.co/datasets/zeweizhang/TrajLoomDatasets

Option 2: download with hf

pip install -U "huggingface_hub[cli]"
hf download zeweizhang/TrajLoomDatasets --repo-type dataset --local-dir /TrajLoomDataset

Quick unzip

If the downloaded zip files are directly under /TrajLoomDataset/, run:

cd /TrajLoomDataset

for f in *.zip; do
  unzip -oq "$f" -d /TrajLoomDataset
done

This restores each subset into its own root-level folder.

Folder tree after extraction

After unzipping, the folder layout becomes:

/TrajLoomDataset/
  kubric_alltracker_s32/
  robotap_alltracker_s32/
  kinetics_alltracker_s32/
  kinetics_video/
  robotap_video/
  kubric_video/
  magicdata_video/
  magicdata_alltracker_s32/
  cache/
  README.md
  LICENSE

Guided folder description

/TrajLoomDataset/
├── kubric_alltracker_s32/        # AllTracker trajectory outputs for Kubric videos
├── robotap_alltracker_s32/       # AllTracker trajectory outputs for RoboTAP videos
├── kinetics_alltracker_s32/      # AllTracker trajectory outputs for Kinetics videos
├── kinetics_video/               # Kinetics video subset
├── robotap_video/                # RoboTAP video subset
├── kubric_video/                 # Kubric-generated video subset
├── magicdata_video/              # MagicData video subset
├── magicdata_alltracker_s32/     # AllTracker trajectory outputs for MagicData videos
├── cache/                        # Cached latents from TrajLoom-VAE from MagicData trajectory
├── README.md
└── LICENSE

Notes

• The zip files are distributed at the repository root to reduce the number of uploaded files.
• The unzip command above keeps each subset in its own top-level folder.
• You may delete the .zip files after extraction if you no longer need them.

Optional cleanup:

cd /TrajLoomDataset
rm -f *.zip

License

TrajLoomDatasets contains mixed-source materials.

• Original TrajLoom-created materials are released under Apache-2.0 unless noted otherwise.
• RoboTAP and TAP-Vid related materials follow their upstream CC BY 4.0 terms.
• Kinetics-derived materials remain subject to the original source licenses of the underlying videos.
• Kubric is Apache-2.0 software; original synthetic videos generated by us are released under Apache-2.0 unless third-party assets impose additional restrictions.

See LICENSE for the full dataset license notice and provenance details.

Citation

@misc{zhang2026trajloomdensefuturetrajectory,
      title={TrajLoom: Dense Future Trajectory Generation from Video}, 
      author={Zewei Zhang and Jia Jun Cheng Xian and Kaiwen Liu and Ming Liang and Hang Chu and Jun Chen and Renjie Liao},
      year={2026},
      eprint={2603.22606},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2603.22606}, 
}