# wenhaochai/MovieChat

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

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

wenhaochai/MovieChat has 709 stars on GitHub. Its RepoMasters card: Beta tier. \[CVPR 2024\] MovieChat: From Dense Token to Sparse Memory for Long Video…

| Field | Value |
| --- | --- |
| Owner | [wenhaochai](https://repo.masters-masters.com/en/owners/wenhaochai) |
| Stars | 709 |
| Forks | 44 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-3-Clause |
| Created | 2023 |
| Topics | computer-vision, multimodal-large-language-models, long-video-understanding, llama, large-language-models, dataset |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [wenhaochai/MovieChat](https://github.com/wenhaochai/MovieChat) |

## Repository

\[CVPR 2024\] MovieChat: From Dense Token to Sparse Memory for Long Video Understanding

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.