ICML2025

XAttention: Block Sparse Attention with Antidiagonal Scoring
Long-Context Transformer Models (LCTMs) are vital for real-world applications but suffer high computational costs due to attention’s …
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XAttention: Block Sparse Attention with Antidiagonal Scoring
Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
Diffusion Transformers (DiTs) dominate video generation but their high computational cost severely limits real-world applicability, …
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Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
This paper presents SANA-1.5, a linear Diffusion Transformer for efficient scaling in text-to-image generation. Building upon SANA-1.0, …
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SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer