# WHU-USI3DV/FreeReg

<https://repo.masters-masters.com/en/repos/WHU-USI3DV/FreeReg>

[Home](https://repo.masters-masters.com/en) › [WHU-USI3DV](https://repo.masters-masters.com/en/owners/WHU-USI3DV) › [FreeReg](https://repo.masters-masters.com/en/repos/WHU-USI3DV/FreeReg)

WHU-USI3DV/FreeReg has 310 stars on GitHub. Its RepoMasters card: Alpha tier. \[ICLR 2024\] FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained…

| Field | Value |
| --- | --- |
| Owner | [WHU-USI3DV](https://repo.masters-masters.com/en/owners/WHU-USI3DV) |
| Stars | 310 |
| Forks | 13 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | cross-modality-feature-extraction, diffusion-model, diffusion-models, image-to-point-cloud-registration, paper, diffusion-feature |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [WHU-USI3DV/FreeReg](https://github.com/WHU-USI3DV/FreeReg) |

## Repository

\[ICLR 2024\] FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators

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.