Guiding Monocular Depth Estimation Using Depth-Attention Volume

04/06/2020
by   Lam Huynh, et al.
0

Recovering the scene depth from a single image is an ill-posed problem that requires additional priors, often referred to as monocular depth cues, to disambiguate different 3D interpretations. In recent works, those priors have been learned in an end-to-end manner from large datasets by using deep neural networks. In this paper, we propose guiding depth estimation to favor planar structures that are ubiquitous especially in indoor environments. This is achieved by incorporating a non-local coplanarity constraint to the network with a novel attention mechanism called depth-attention volume (DAV). Experiments on two popular indoor datasets, namely NYU-Depth-v2 and ScanNet, show that our method achieves state-of-the-art depth estimation results while using only a fraction of the number of parameters needed by the competing methods.

READ FULL TEXT

page 11

page 12

page 18

page 19

page 20

page 21

page 22

page 23

research
11/15/2021

Error Diagnosis of Deep Monocular Depth Estimation Models

Estimating depth from a monocular image is an ill-posed problem: when th...
research
08/25/2021

Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss

Deep neural networks have recently thrived on single image depth estimat...
research
07/10/2021

A Weakly-Supervised Depth Estimation Network Using Attention Mechanism

Monocular depth estimation (MDE) is a fundamental task in many applicati...
research
11/20/2018

Double Refinement Network for Efficient Indoor Monocular Depth Estimation

Monocular Depth Estimation is an important problem of Computer Vision th...
research
04/20/2016

Symmetry-aware Depth Estimation using Deep Neural Networks

Due to the abundance of 2D product images from the Internet, developing ...
research
04/14/2022

End-to-end Learning for Joint Depth and Image Reconstruction from Diffracted Rotation

Monocular depth estimation is still an open challenge due to the ill-pos...
research
03/27/2018

Learning Depth from Single Images with Deep Neural Network Embedding Focal Length

Learning depth from a single image, as an important issue in scene under...

Please sign up or login with your details

Forgot password? Click here to reset