# UMass-Embodied-AGI/TesserAct

<https://repo.masters-masters.com/en/repos/UMass-Embodied-AGI/TesserAct>

[Home](https://repo.masters-masters.com/en) › [UMass-Embodied-AGI](https://repo.masters-masters.com/en/owners/UMass-Embodied-AGI) › [TesserAct](https://repo.masters-masters.com/en/repos/UMass-Embodied-AGI/TesserAct)

UMass-Embodied-AGI/TesserAct has 411 stars on GitHub. Its RepoMasters card: Alpha tier. ICCV 2025 \| TesserAct: Learning 4D Embodied World Models

| Field | Value |
| --- | --- |
| Owner | [UMass-Embodied-AGI](https://repo.masters-masters.com/en/owners/UMass-Embodied-AGI) |
| Stars | 411 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Topics | 3d, 4d, embodied-ai, robotics, video-generation, world-models |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [UMass-Embodied-AGI/TesserAct](https://github.com/UMass-Embodied-AGI/TesserAct) |

## Repository

ICCV 2025 \| TesserAct: Learning 4D Embodied World Models

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.