SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments

Jaehoon Choi,Dongki Jung,Yonghan Lee,Deokhwa Kim,Dinesh Manocha,Donghwan Lee,Jaehoon Choi,Dongki Jung,Yonghan Lee,Deokhwa Kim,Dinesh Manocha,Donghwan Lee

We present a novel algorithm for self-supervised monocular depth completion. Our approach is based on training a neural network that requires only sparse depth measurements and corresponding monocular video sequences without dense depth labels. Our self-supervised algorithm is designed for challenging indoor environments with textureless regions, glossy and transparent surfaces, moving people, lon...