# jerryfeng2003/PointGST

<https://repo.masters-masters.com/en/repos/jerryfeng2003/PointGST>

[Home](https://repo.masters-masters.com/en) › [jerryfeng2003](https://repo.masters-masters.com/en/owners/jerryfeng2003) › [PointGST](https://repo.masters-masters.com/en/repos/jerryfeng2003/PointGST)

jerryfeng2003/PointGST has 390 stars on GitHub. Its RepoMasters card: Alpha tier. \[IEEE TPAMI\] Parameter-Efficient Fine-Tuning in Spectral Domain for Point…

| Field | Value |
| --- | --- |
| Owner | [jerryfeng2003](https://repo.masters-masters.com/en/owners/jerryfeng2003) |
| Stars | 390 |
| Forks | 36 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | 3d-point-clouds, efficient-deep-learning, point-cloud |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [jerryfeng2003/PointGST](https://github.com/jerryfeng2003/PointGST) |

## Repository

\[IEEE TPAMI\] Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning

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.