README.md

---
task_categories:
- text-to-video
license: mit
---

<div align="center">

# Pulp Motion: Framing-aware multimodal camera and human motion generation

<a href="https://robincourant.github.io/info/"><strong>Robin Courant</strong></a>
·
<a href="https://triocrossing.github.io/"><strong>Xi Wang</strong></a>
·
<a href="https://davidlapous.github.io/"><strong>David Loiseaux</strong></a>
·
<a href="http://people.irisa.fr/Marc.Christie/"><strong>Marc Christie</strong></a>
·
<a href="https://vicky.kalogeiton.info/"><strong>Vicky Kalogeiton</strong></a>

[![License](https://img.shields.io/badge/License-MIT-green.svg)]()

</div>


<div align="center">
    <a href="https://www.lix.polytechnique.fr/vista/projects/2025_pulpmotion_courant/" class="button"><b>[Webpage]</b></a> &nbsp;&nbsp;&nbsp;&nbsp;
    <a href="https://huggingface.co/papers/2510.05097" class="button"><b>[Paper]</b></a> &nbsp;&nbsp;&nbsp;&nbsp;
    <a href="https://github.com/robincourant/pulp-motion" class="button"><b>[Code]</b></a> &nbsp;&nbsp;&nbsp;&nbsp;
</div>

<br/>

![Teaser](./assets/teaser.png)

---

The PulpMotion dataset is a human-motion and camera-trajectory dataset with rich captions, and high-quality human motions, presented in the paper [Pulp Motion: Framing-aware multimodal camera and human motion generation](https://huggingface.co/papers/2510.05097).

### Sample Usage

First, install `git lfs` by following the instructions [here](https://docs.github.com/en/repositories/working-with-files/managing-large-files/installing-git-large-file-storage).

To get the data and prepare the dataset, run:
```bash
git clone https://huggingface.co/datasets/robin-courant/pulpmotion-data
cd pulpmotion-data
sh untar.sh
```