LEGO: Learning Edge with Geometry all at Once by Watching Videos
LEGO: Learning Edge with Geometry all at Once by Watching Videos
Learning to estimate 3D geometry in a single image by watching unlabeled videos via deep convolutional network is attracting significant attention. In this paper, we introduce a "3D as-smooth-as-possible (3D-ASAP)" prior inside the pipeline, which enables joint estimation of edges and 3D scene, yielding results with significant improvement in accuracy …