# H-EmbodVis/VEGA-3D

<https://repo.masters-masters.com/en/repos/H-EmbodVis/VEGA-3D>

[Home](https://repo.masters-masters.com/en) › [H-EmbodVis](https://repo.masters-masters.com/en/owners/H-EmbodVis) › [VEGA-3D](https://repo.masters-masters.com/en/repos/H-EmbodVis/VEGA-3D)

H-EmbodVis/VEGA-3D has 427 stars on GitHub. Its RepoMasters card: Alpha tier. \[ECCV 2026\] Generation Models Know Space: Unleashing Implicit 3D Priors for…

| Field | Value |
| --- | --- |
| Owner | [H-EmbodVis](https://repo.masters-masters.com/en/owners/H-EmbodVis) |
| Stars | 427 |
| Forks | 23 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2026 |
| Topics | multimodal-large-language-models, spatial-reasoning, vision, vision-language-model |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [H-EmbodVis/VEGA-3D](https://github.com/H-EmbodVis/VEGA-3D) |

## Repository

\[ECCV 2026\] Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding

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.