2018
Depth Super-Resolution with Deep Edge-Inference Network and Edge-Guided Depth Filling
ICASSP 2018accepted
In this paper, we propose a novel depth super-resolution framework with deep edge-inference network and edge-guided depth filling. We first construct a convolutional neural network (CNN) architecture to learn a binary map of depth edge location from low resolution depth map and corresponding color i…