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Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction

Efstathios Karypidis1,3, Spyros Gidaris2, Nikos Komodakis1,4,5

1Archimedes/Athena RC 2valeo.ai
3National Technical University of Athens 4University of Crete 5IACM-Forth

Re2Pix License

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Code and pretrained models will be released soon. Stay tuned!

Contents

  1. News
  2. Setup
  3. Usage
  4. To-Do
  5. Citation

Setup

This framework is built on top of Cosmos-Predict2 and DINO-Foresight. Cosmos-Predict is a collection of general-purpose world foundation models. The repository contains many features that are not used in Re2Pix. We did an initial cleanup of the repository, but it still contains a lot of unused code. To be refined further in the future.

For the installation instructions, please refer to the Installation page.

Usage

Re2Pix is a hierarchical video prediction framework that takes as input 13 frames of a video and predicts the next 12 frames in a hierarchical manner. Resolution used is 448x. For instructions on how to use Re2Pix, please refer to the Usage page.

To-Do

  • Provide inference script
  • Add training scripts
  • Improve the documentation and code cleanup
  • Add more pretrained models

News

  • 2026-06-17: Re2Pix is accepted at ECCV 2026! 🎉
  • 2026-04-13: Arxiv Preprint and GitHub repository are released!

Citation

If you found Re2Pix useful in your research, please consider starring ⭐ us on GitHub and citing 📚 us in your research!

@article{karypidis2026re2pix,
  title={Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction},
  author={Karypidis, Efstathios and Gidaris, Spyros and Komodakis, Nikos},
  journal={arXiv preprint arXiv:2604.11707},
  year={2026}
}

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[ECCV 2026] Official Implementation of Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction

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