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When Wider Views Fail: Stress-Testing Feed-Forward 3D Reconstruction
Feed-forward 3D reconstruction models enable efficient geometry estimation from sparse images, but their pretrained nature can make them vulnerable to distribution shifts beyond their training data. Identifying these failure modes is important for understanding when such models can be reliably deplo
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