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| title: README | |
| emoji: ⚡ | |
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| colorTo: blue | |
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| pinned: false | |
| <div align="center"> | |
| <img src="https://veda-sparse.github.io/logo.svg" alt="Veda" width="96"/> | |
| # Veda: Scalable Video Diffusion via Distilled Sparse Attention | |
| **ICML 2026** · Video Diffusion · Sparse Attention | |
| [📄 Paper](https://arxiv.org/abs/2605.30325) · [🌐 Project Page](https://veda-sparse.github.io/) · [💻 GitHub](https://github.com/veda-sparse) · [📚 BibTeX](https://veda-sparse.github.io/#bibtex) | |
| </div> | |
| **Veda** is a learned sparse-attention method for video DiTs. A lightweight tile-score predictor, distilled from full attention, keeps only the attention tiles that matter and skips the rest with a hardware-aligned tile-sparse kernel. | |