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license: mit
language:
- en
size_categories:
- n<1K
---
## Overview
[MOSIV](https://arxiv.org/abs/2603.06022) is a synthetic dataset designed for the task of **multi-object system identification from videos**, where the goal is to recover both the **4D geometry (time-varying 3D shape)** and the **physical properties** (e.g., stiffness, friction, plasticity) of multiple interacting objects directly from multi-view video observations.
MOSIV features **contact-rich, multi-object interactions** with diverse materials and complex dynamics. Each sequence contains multiple objects undergoing collisions, deformation, and motion, along with ground-truth physical parameters and simulation data.
The dataset is generated using [Genesis simulator](https://github.com/Genesis-Embodied-AI/Genesis) and supports tasks such as:
- Dynamic 3D / 4D reconstruction
- Physics-based system identification
- Multi-object interaction modeling
- Future state prediction and simulation
## Dataset Structure
The dataset is organized hierarchically based on the number of objects and sequence IDs.
```
MOSIV/
├── 2objs/
│ ├── 01/
│ │ ├── data/
│ │ ├── masks/
│ │ ├── masks_vis/
│ │ ├── point_clouds/
│ │ ├── videos/
│ │ ├── all_data.json
│ │ ├── metadata.json
│ │ ├── points3d.ply
│ │ ├── transforms_train.json
│ │ ├── transforms_val.json
│ │ └── transforms_test.json
│ ├── 02/
│ └── …
├── 3objs/
│ ├── 012/
│ ├── 013/
│ └── …
```
Citing MOSIV
If you find this dataset useful in your work, please consider citing our paper:
```
@misc{liu2026mosivmultiobjectidentificationvideos,
title={MOSIV: Multi-Object System Identification from Videos},
author={Chunjiang Liu and Xiaoyuan Wang and Qingran Lin and Albert Xiao and Haoyu Chen and Shizheng Wen and Hao Zhang and Lu Qi and Ming-Hsuan Yang and Laszlo A. Jeni and Min Xu and Yizhou Zhao},
year={2026},
eprint={2603.06022},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2603.06022},
}
``` |