# baegwangbin/surface\_normal\_uncertainty

<https://repo.masters-masters.com/en/repos/baegwangbin/surface_normal_uncertainty>

[Home](https://repo.masters-masters.com/en) › [baegwangbin](https://repo.masters-masters.com/en/owners/baegwangbin) › [surface\_normal\_uncertainty](https://repo.masters-masters.com/en/repos/baegwangbin/surface_normal_uncertainty)

baegwangbin/surface\_normal\_uncertainty has 245 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICCV 2021 Oral\] Estimating and Exploiting the Aleatoric…

| Field | Value |
| --- | --- |
| Owner | [baegwangbin](https://repo.masters-masters.com/en/owners/baegwangbin) |
| Stars | 245 |
| Forks | 21 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | 3d-reconstruction, computer-vision, deep-learning, surface-normal, surface-normals, surface-normals-estimation, uncertainty, uncertainty-estimation, iccv2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [baegwangbin/surface\_normal\_uncertainty](https://github.com/baegwangbin/surface_normal_uncertainty) |

## Repository

\[ICCV 2021 Oral\] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

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.