3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior

ule to guide the inference of occupancy and the semantic labels via a semi-supervised structure prior learning strategy. We demonstrate that our proposed geometric embedding works better than the depth feature learning from habitual SSC frameworks. Our final model surpasses stateof-the-arts consistently on three public benchmarks, which only requires 3D volumes of 60×36×60 resolution for both input and output. The code and the supplementary material will be available at https://charlesCXK.github.io.