# PzySeere/MetaSpatial

<https://repo.masters-masters.com/en/repos/PzySeere/MetaSpatial>

[Home](https://repo.masters-masters.com/en) › [PzySeere](https://repo.masters-masters.com/en/owners/PzySeere) › [MetaSpatial](https://repo.masters-masters.com/en/repos/PzySeere/MetaSpatial)

PzySeere/MetaSpatial has 321 stars on GitHub. Its RepoMasters card: Alpha tier. \[ICLR 2026\] MetaSpatial leverages reinforcement learning to enhance 3D spatial…

| Field | Value |
| --- | --- |
| Owner | [PzySeere](https://repo.masters-masters.com/en/owners/PzySeere) |
| Stars | 321 |
| Forks | 10 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2025 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [PzySeere/MetaSpatial](https://github.com/PzySeere/MetaSpatial) |

## Repository

\[ICLR 2026\] MetaSpatial leverages reinforcement learning to enhance 3D spatial reasoning in vision-language models (VLMs), enabling more structured, realistic, and adaptive scene generation for applications in the metaverse, AR/VR, and game development.

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.