Canny edges from an RGB image are projected into 3D, encoded with flipped TSDF, and fused with depth in a U-Net based CNN, improving semantic scene completion by about 3 points on SUNCG while matching complex two-stage methods on NYU.
Perceptual organization and recog- nition of indoor scenes from RGB-D images,
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EdgeNet: Semantic Scene Completion from a Single RGB-D Image
Canny edges from an RGB image are projected into 3D, encoded with flipped TSDF, and fused with depth in a U-Net based CNN, improving semantic scene completion by about 3 points on SUNCG while matching complex two-stage methods on NYU.