GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation

IEEE Transactions on Pattern Analysis and Machine Intelligence(2022)

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摘要
In this paper, we propose a geometric neural network with edge-aware refinement (GeoNet++) to jointly predict both depth and surface normal maps from a single image. Building on top of two-stream CNNs, GeoNet++ captures the geometric relationships between depth and surface normals with the proposed depth-to-normal and normal-to-depth modules. In particular, the “depth-to-normal” module exploits th...
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关键词
Three-dimensional displays,Surface reconstruction,Estimation,Image reconstruction,Computer architecture,Measurement,Neural networks
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