| --- |
| license: apache-2.0 |
| task_categories: |
| - video-text-to-text |
| --- |
| |
| <p align="center"> |
| <img src="assets/logo2.png" alt="FramePack-U logo" style="width: 65%;" /> |
| </p> |
|
|
| <h1 align="center"> |
| Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding |
| </h1> |
|
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| <p align="center"> |
| <a href="https://zeld0n.github.io/shuo_homepage/">Shuo Gao</a>, <a href="https://hellomuffin.github.io/">Chenhao Zheng</a>, <a href="https://jason718.github.io/">Zhongzheng Ren</a>. |
| </p> |
| <p align="center"> |
| <a href="https://zeld0n.github.io/framepack-U/"><img src="https://img.shields.io/badge/Homepage-FramePackU-green" alt="Homepage"></a> |
| <a href="https://arxiv.org/abs/2610.16118"><img src="https://img.shields.io/badge/arXiv-FramePackU-red?logo=arxiv" alt="GitHub"></a> |
| <a href="https://github.com/ZelD0n/framepack-U"><img src="https://img.shields.io/badge/GitHub-FramePackU-blue?logo=github" alt="GitHub"></a> |
| <a href="https://huggingface.co/datasets/ZelD0n/FramePack-U"><img src="https://img.shields.io/badge/HuggingFace-FramePackU-yellow?logo=huggingface" alt="Hugging Face"></a> |
| <a href="https://www.modelscope.cn/datasets/ZelD0n/FramePack-U"><img src="https://img.shields.io/badge/ModelScope-FramePackU-purple?logo=modelscope" alt="ModelScope"></a> |
| </p> |
|
|
| <p align="center"> |
| <img src="assets/framepack_framework.png" alt="FramePack-U framework" style="width: 80%;"/> |
| </p> |
|
|
| ## What does this repo contain? |
| This repo contains: |
| - **Offline CLIP scores**: Relevance between each frame and text query, calculated by CLIP-ViT-B/32. |
| - **Offline frame feature**: Visual feature extracted by CLIP-ViT. |
|
|
| ## How to use it? |
| To avoid massive online calculating, you can download these data and put these offline scores and feature in the `local/` directory of the repo, or download wherever you want and link them to this directory. |
|
|
| Unzip the `clip_scores.zip` and `frame_feature.zip` file by this script: |
| ``` |
| unzip /path/to/clip_scores.zip |
| unzip /path/to/frame_feature.zip |
| ``` |
|
|
| Now you can run the evaluation on LongVideoBench, MLVU and VideoMME with their pre-calculated frame feature. |
|
|
| ## Citation |
| If you find this work helpful, please consider citing our paper: |
| ```bibtex |
| @inproceedings{gao2026elephant, |
| title = {Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding}, |
| author = {Gao, Shuo and Zheng, Chenhao and Ren, Zhongzheng}, |
| booktitle = {Neural Information Processing Systems (NeurIPS)}, |
| year = {2026} |
| } |
| ``` |
