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Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding

Shuo Gao, Chenhao Zheng, Zhongzheng Ren.

Homepage GitHub GitHub Hugging Face ModelScope

FramePack-U framework

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:

@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}
}
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