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VASC: Value-Aware Sparse Attention with Cross-Layer Memory for Efficient 3D Reconstruction
Feed-forward 3D vision models such as VGGT have achieved remarkable progress, unifying camera estimation and dense scene reconstruction in a single pass. However, their quadratic global attention makes long image sequences expensive, while existing sparse methods may favor highly attended yet value-
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