Get 3D scene using geometric context to constrain depth and normal estimates with ASNDepth
Get 3D scene using geometric context to constrain depth and normal estimates with ASNDepth
Adaptive Surface Normal Constraint for Geometric Estimation from Monocular Images
arXiv paper abstract https://arxiv.org/abs/2402.05869
arXiv PDF paper https://arxiv.org/pdf/2402.05869.pdf
... learn geometries such as depth and surface normal from images while incorporating geometric context ... propose the Adaptive Surface Normal (ASN) constraint
... approach extracts geometric context that encodes the geometric variations present in the input image and correlates depth estimation with geometric constraints.
By dynamically determining reliable local geometry from randomly ... candidates ... establish a surface normal constraint, where ... candidates is evaluated using the geometric context.
... normal estimation leverages the geometric context to prioritize ... significant geometric variations, which makes the predicted normals ... capture ... detailed geometric information.
... integration of geometric context, ... method unifies depth and surface normal estimations within a cohesive framework, which enables ... high-quality 3D geometry from images.
... validate the superiority of ... approach over state-of-the-art methods through extensive evaluations and comparisons ...
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