# UMass-Embodied-AGI/3D-Mem

<https://repo.masters-masters.com/en/repos/UMass-Embodied-AGI/3D-Mem>

[Home](https://repo.masters-masters.com/en) › [UMass-Embodied-AGI](https://repo.masters-masters.com/en/owners/UMass-Embodied-AGI) › [3D-Mem](https://repo.masters-masters.com/en/repos/UMass-Embodied-AGI/3D-Mem)

UMass-Embodied-AGI/3D-Mem has 283 stars on GitHub. Its RepoMasters card: Alpha tier. \[CVPR 2025\] Source codes for the paper "3D-Mem: 3D Scene Memory for…

| Field | Value |
| --- | --- |
| Owner | [UMass-Embodied-AGI](https://repo.masters-masters.com/en/owners/UMass-Embodied-AGI) |
| Stars | 283 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | ai, computer-vision, embodied-ai, spatial-intelligence |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [UMass-Embodied-AGI/3D-Mem](https://github.com/UMass-Embodied-AGI/3D-Mem) |

## Repository

\[CVPR 2025\] Source codes for the paper "3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning"

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.