# HumanMLLM/LLaVA-Scissor

<https://repo.masters-masters.com/en/repos/HumanMLLM/LLaVA-Scissor>

[Home](https://repo.masters-masters.com/en) › [HumanMLLM](https://repo.masters-masters.com/en/owners/HumanMLLM) › [LLaVA-Scissor](https://repo.masters-masters.com/en/repos/HumanMLLM/LLaVA-Scissor)

HumanMLLM/LLaVA-Scissor has 122 stars on GitHub. Its RepoMasters card: Prototype tier. The official code for the paper: LLaVA-Scissor: Token Compression with…

| Field | Value |
| --- | --- |
| Owner | [HumanMLLM](https://repo.masters-masters.com/en/owners/HumanMLLM) |
| Stars | 122 |
| Forks | 3 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2025 |
| Topics | connected-components, mllm, multimodal-large-language-models, token-compression, video-language-understanding, video-understanding |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [HumanMLLM/LLaVA-Scissor](https://github.com/HumanMLLM/LLaVA-Scissor) |

## Repository

The official code for the paper: LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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