# synthesiaresearch/humanrf

<https://repo.masters-masters.com/en/repos/synthesiaresearch/humanrf>

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

synthesiaresearch/humanrf has 497 stars on GitHub. Its RepoMasters card: Alpha tier. Official code for "HumanRF: High-Fidelity Neural Radiance Fields for…

| Field | Value |
| --- | --- |
| Owner | [synthesiaresearch](https://repo.masters-masters.com/en/owners/synthesiaresearch) |
| Stars | 497 |
| Forks | 30 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | computer-graphics, computer-vision, nerf, 3d-reconstruction, machine-learning, siggraph2023 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [synthesiaresearch/humanrf](https://github.com/synthesiaresearch/humanrf) |

## Repository

Official code for "HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion"

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.