# HCIS-Lab/GaussianLSS

<https://repo.masters-masters.com/en/repos/HCIS-Lab/GaussianLSS>

[Home](https://repo.masters-masters.com/en) › [HCIS-Lab](https://repo.masters-masters.com/en/owners/HCIS-Lab) › [GaussianLSS](https://repo.masters-masters.com/en/repos/HCIS-Lab/GaussianLSS)

HCIS-Lab/GaussianLSS has 182 stars on GitHub. Its RepoMasters card: Prototype tier. Official PyTorch implementation of "GaussianLSS - Toward Real-world BEV…

| Field | Value |
| --- | --- |
| Owner | [HCIS-Lab](https://repo.masters-masters.com/en/owners/HCIS-Lab) |
| Stars | 182 |
| Forks | 16 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2025 |
| Topics | bev-perception, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [HCIS-Lab/GaussianLSS](https://github.com/HCIS-Lab/GaussianLSS) |

## Repository

Official PyTorch implementation of "GaussianLSS - Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting" (CVPR 2025).

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.