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Fix incomplete 3D depth data by using RGB image and GAN with RDF-GAN

Fix incomplete 3D depth data by using RGB image and GAN with RDF-GAN


RGB-Depth Fusion GAN for Indoor Depth Completion



... depth image ... usually has an extensive range of missing depth values


... design a novel two-branch end-to-end fusion network, which takes a pair of RGB and incomplete depth images as input to predict a dense and completed depth map.


The first branch employs an encoder-decoder structure to regress the local dense depth values from the raw depth map, with the help of ... the RGB image.


In the other branch, ... propose an RGB-depth fusion GAN to transfer the RGB image to the fine-grained textured depth map.


... adopt adaptive fusion modules named W-AdaIN to propagate the features across the two branches, and ... append a confidence fusion head to fuse the two outputs of the branches for the final depth map.


... demonstrate ... method ... improves the depth completion performance, especially in a more realistic setting of indoor environments with the help of the pseudo depth map.



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