AI RESEARCH
PE3R: Perception-Efficient 3D Reconstruction
arXiv CS.CV
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ArXi:2503.07507v2 Announce Type: replace Recent advances in 2D-to-3D perception have enabled the recovery of 3D scene semantics from unposed images. However, prevailing methods often suffer from limited generalization, reliance on per-scene optimization, and semantic inconsistencies across viewpoints. To address these limitations, we