AI RESEARCH
AHAP: Reconstructing Arbitrary Humans from Arbitrary Perspectives with Geometric Priors
arXiv CS.CV
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ArXi:2602.23951v2 Announce Type: replace Reconstructing 3D humans from images captured at multiple perspectives typically requires pre-calibration, like using checkerboards or MVS algorithms, which limits scalability and applicability in diverse real-world scenarios. In this work, we present AHAP (Reconstructing Arbitrary Humans from Arbitrary Perspectives), a feed-forward framework for reconstructing arbitrary humans from arbitrary camera perspectives without requiring camera calibration.