3 papers
cs.CV2026
Sparse Attention for Video Generation Acceleration via Growing Sparsity and Reduced Search
Yun Dai, Yuyun Chen, Jiarui Wen +3
Diffusion Transformers (DiTs) dominate video generation but suffer from high inference cost due to the quadratic complexity of self-attention. Sparse attention mitigates this by sk…
cs.CV2026
PARK: Accurate Block Retrieval for Sparse Attention in Video Diffusion Transformers
Yun Dai, Jiarui Wen, Huiping Zhuang +2
Diffusion Transformers (DiTs) have become a dominant architecture for video generation, but their efficiency is limited by the quadratic complexity of full attention. Sparse attent…
cs.CG2026
AnyGS2Mesh: Feed-Forward Mesh Reconstruction from 3D Gaussian Splatting with Arbitrary-Resolution Views
Yuxuan Song, Fan Gao, Yibo Zhao +3
Existing 3D mesh reconstruction methods from Gaussian scene representations predominantly rely on iterative optimization, resulting in slow inference and limited scalability to hig…