# wenhaochai/aurora

<https://repo.masters-masters.com/en/repos/wenhaochai/aurora>

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

wenhaochai/aurora has 149 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICLR 2025\] AuroraCap: Efficient, Performant Video Detailed Captioning and a…

| Field | Value |
| --- | --- |
| Owner | [wenhaochai](https://repo.masters-masters.com/en/owners/wenhaochai) |
| Stars | 149 |
| Forks | 6 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | multimodal-large-language-models, benchmark, computer-vision, deploy, llm, video-understanding, transformers |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [wenhaochai/aurora](https://github.com/wenhaochai/aurora) |

## Repository

\[ICLR 2025\] AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

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.