# megvii-research/AAAI2023-PVD

<https://repo.masters-masters.com/en/repos/megvii-research/AAAI2023-PVD>

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megvii-research/AAAI2023-PVD has 180 stars on GitHub. Its RepoMasters card: Prototype tier. \[IJCV\] Official Implementation of PVD and PVDAL… Language: Python.

| Field | Value |
| --- | --- |
| Owner | [megvii-research](https://repo.masters-masters.com/en/owners/megvii-research) |
| Stars | 180 |
| Forks | 5 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | 3d-reconstruction, computer-vision, nerf, nerfs, neuralradiance-fields, 3d, 3d-graphics, neural-rendering, rendering-3d-volumes |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [megvii-research/AAAI2023-PVD](https://github.com/megvii-research/AAAI2023-PVD) |

## Repository

\[IJCV\] Official Implementation of PVD and PVDAL: http://sk-fun.fun/PVD-AL/

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.