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##
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[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.
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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.
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The dataset is generated using [Genesis simulator](https://github.com/Genesis-Embodied-AI/Genesis) and supports tasks such as:
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## Overview
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[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.
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## Introduction
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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.
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The dataset is generated using [Genesis simulator](https://github.com/Genesis-Embodied-AI/Genesis) and supports tasks such as:
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