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README.md

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+---
+library_name: pytorch
+tags:
+  - deltatok
+license: apache-2.0
+datasets:
+  - kinetics700
+---
+
+# DeltaTok (Tokenizer) — Kinetics-700
+
+ViT-B encoder and decoder that compresses consecutive video frame features into a single continuous delta token. Trained on Kinetics-700 at 512x512 resolution. Requires a frozen [DINOv3](https://github.com/facebookresearch/dinov3) ViT-B backbone (not included).
+
+## Usage
+
+See the [DeltaTok GitHub repository](https://github.com/amazon-far/deltatok) for training and evaluation code.
+
+## Acknowledgements
+
+- [DINOv3](https://github.com/facebookresearch/dinov3)
+- [Kinetics-700](https://github.com/cvdfoundation/kinetics-dataset)
+
+## Citation
+
+```bibtex
+@inproceedings{kerssies2026deltatok,
+  title     = {A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens},
+  author    = {Kerssies, Tommie and Berton, Gabriele and He, Ju and Yu, Qihang and Ma, Wufei and de Geus, Daan and Dubbelman, Gijs and Chen, Liang-Chieh},
+  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year      = {2026}
+}
+```

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