AI RESEARCH
Monocular Normal Estimation via Shading Sequence Estimation
arXiv CS.AI
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ArXi:2602.09929v4 Announce Type: replace-cross Monocular normal estimation aims to estimate the normal map from a single RGB image of an object under arbitrary lights. Existing methods rely on deep models to directly predict normal maps. However, they often suffer from 3D misalignment: while the estimated normal maps may appear to have a correct appearance, the reconstructed surfaces often fail to align with the geometric details.