radial-attention
[NeurIPS 2025] Radial Attention: O(nlogn) Sparse Attention with Energy Decay for Long Video Generation
Generate high-quality videos efficiently using Radial Attention's advanced techniques for sparse attention.
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Free · no card · unsubscribe anytime[NeurIPS 2025] Radial Attention: O(nlogn) Sparse Attention with Energy Decay for Long Video Generation
radial-attention has 603 stars on GitHub. It has been forked 33 times. radial-attention is written mainly in Python. It has been in active development since 2025. radial-attention is available under the Apache-2.0 license. Its main topics are diffusion-models, efficientml, hunyuan-video, mochi.
What is radial-attention?
[NeurIPS 2025] Radial Attention: O(nlogn) Sparse Attention with Energy Decay for Long Video Generation
Is radial-attention open source?
radial-attention is an open-source project. It is released under the Apache-2.0 license.
Is radial-attention free?
Yes. radial-attention is free and open source — you can use, modify and self-host it.
What license does radial-attention use?
radial-attention is available under the Apache-2.0 license.
What language is radial-attention written in?
radial-attention is written mainly in Python.
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