Depth-SIMS: Semi-Parametric Image and Depth Synthesis
Valentina Musat,Daniele De Martini,Matthew Gadd,Paul Newman,Valentina Musat,Daniele De Martini,Matthew Gadd,Paul Newman
In this paper we present a compositing image synthesis method that generates RGB canvases with well aligned segmentation maps and sparse depth maps, coupled with an in-painting network that transforms the RGB canvases into high quality RGB images and the sparse depth maps into pixel-wise dense depth maps. We benchmark our method in terms of structural alignment and image quality, showing an increa...
