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Jeahn Han

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Preprint Sep 2026

GALoc: Gravity Aligned Wireframes for Depth-Free Monocular Floorplan Localization

GALoc, a geometry-first framework that replaces depth prediction with gravity-aligned wireframes that satisfy verticality and coplanarity by construction, is proposed and evaluated end-to-end on Structured3D, with calibrated noise on Gibson, and on real-world author-collected sequences.

Jeahn Han, Minji Kim, Jeongbin Sohn et al. · 0 citations
#machine learning Preprint Sep 2026

Why Learning Rediscovers the Closed-Form Diagonal Regularizer

We identify a diagonal saturation principle in modal inverse problems: when truncation noise is isotropic, the Bayes-optimal Tikhonov shape is a closed-form power law Gamma_k proportional to lambda_k^|s| set by the prior alone, independent of the domain. Berry's random-wave conjecture decorrelates the truncation noise...

Jeahn Han, Pyojin Kim · 0 citations

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