Adaptive Surface Normal Constraint for Accurate Geometric Estimation from Monocular Images

The core message of this paper is that by incorporating geometric context that encodes local 3D geometric variations, the proposed Adaptive Surface Normal (ASN) constraint can effectively correlate depth estimation and normal estimation, enabling the generation of high-quality 3D geometry from monocular images.