SVG2 accelerates DiT video generation via semantic-aware token permutation with k-means, achieving up to 2.3x speedup and PSNR of 30 while fixing position-based clustering and scattered-token waste.
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Sculpt4D generates temporally coherent 4D shapes by integrating a block sparse attention mechanism with time-decaying mask into a pretrained 3D diffusion transformer, achieving SOTA results with 56% less computation.
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Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
SVG2 accelerates DiT video generation via semantic-aware token permutation with k-means, achieving up to 2.3x speedup and PSNR of 30 while fixing position-based clustering and scattered-token waste.
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Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers
Sculpt4D generates temporally coherent 4D shapes by integrating a block sparse attention mechanism with time-decaying mask into a pretrained 3D diffusion transformer, achieving SOTA results with 56% less computation.