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PrePARE: Pre-AA Token Pruning for Frozen Multi-View Geometry Transformers
Multi-view geometry transformers are feed-forward 3D foundation models that jointly predict depth maps, point maps, and camera poses for N images in a single forward pass. Most of them build on an alternating-attention (AA) stack whose cross-view attention runs over the patch tokens of all N views i
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