| --- |
| language: |
| - en |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
| - other |
| --- |
| |
| # OWM Benchmark |
|
|
| [](https://compvis.github.io/myriad) |
| [](https://huggingface.co/papers/2604.09527) |
| [](https://huggingface.co/CompVis/myriad) |
|
|
| ## Abstract |
|
|
| The OWM benchmark was proposed in the paper [Envisioning the Future, One Step at a Time](https://huggingface.co/papers/2604.09527) and used to evaluate the [MYRIAD](https://huggingface.co/CompVis/myriad/) model. |
|
|
| OWM is a benchmark of 95 curated videos with motion annotations, with the distribution of motion constrained to enable the evaluation of probabilistic motion prediction methods. |
| Videos are obtained from Pexels ([Pexels License](https://www.pexels.com/license/)). We manually annotate relevant objects and the type of motion observed. We use an off-the-shelf tracker to obtain motion trajectories and manually verify correctness. |
|
|
| ## Project Page and Code |
|
|
| - **Project Page**: https://compvis.github.io/myriad |
| - **GitHub Repository**: https://github.com/CompVis/flow-poke-transformer |
|
|
|  |
|
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| *OWM samples include complex real-world scenes with different motion types and complexities.* |
|
|
| ## Usage |
|
|
| We provide code to run the OWM evaluation in our [GitHub repository](https://github.com/CompVis/flow-poke-transformer). |
|
|
| To run the evaluation, first download the data by running `hf download CompVis/owm-95 --repo-type dataset`. |
|
|
| Then run the evaluation script via: |
| ```shell |
| python -m scripts.myriad_eval.openset_prediction --data-root path/to/data --ckpt-path path/to/checkpoint --dataset-name owm |
| ``` |
|
|
| ## License |
|
|
| - Videos are sourced from Pexels and thus licensed under the [Pexels License](https://www.pexels.com/license/) |
| - Metadata and motion annotations are provided under the [CC-BY-NC-SA-4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en) license |
|
|
| ## Citation |
|
|
| If you find our data or code useful, please cite our paper: |
|
|
| ```bibtex |
| @inproceedings{baumann2026envisioning, |
| title={Envisioning the Future, One Step at a Time}, |
| author={Baumann, Stefan Andreas and Wiese, Jannik and Martorella, Tommaso and Kalayeh, Mahdi M. and Ommer, Bjorn}, |
| booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, |
| year={2026} |
| } |
| ``` |
