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Monocular Depth Estimation

42 papers with code ยท Computer Vision
Subtask of Depth Estimation

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FIS-Nets: Full-image Supervised Networks for Monocular Depth Estimation

19 Jan 2020

This paper addresses the importance of full-image supervision for monocular depth estimation.

DEPTH COMPLETION MONOCULAR DEPTH ESTIMATION

Deep 3D Pan via Local adaptive "t-shaped" convolutions with global and local adaptive dilations

ICLR 2020

Our proposed network architecture, the monster-net, is devised with a novel t-shaped adaptive kernel with globally and locally adaptive dilation, which can efficiently incorporate global camera shift into and handle local 3D geometries of the target image's pixels for the synthesis of naturally looking 3D panned views when a 2-D input image is given.

MONOCULAR DEPTH ESTIMATION

Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

ICLR 2020

Instead of using semantic labels and proxy losses in a multi-task approach, we propose a new architecture leveraging fixed pretrained semantic segmentation networks to guide self-supervised representation learning via pixel-adaptive convolutions.

MONOCULAR DEPTH ESTIMATION REPRESENTATION LEARNING SEMANTIC SEGMENTATION

Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method

20 Nov 2019

However, the prediction of saliency maps is itself vulnerable to the attacks, even though it is not the direct target of the attacks.

MONOCULAR DEPTH ESTIMATION

Deep Classification Network for Monocular Depth Estimation

23 Oct 2019

Monocular Depth Estimation is usually treated as a supervised and regression problem when it actually is very similar to semantic segmentation task since they both are fundamentally pixel-level classification tasks.

MONOCULAR DEPTH ESTIMATION SEMANTIC SEGMENTATION

Unsupervised High-Resolution Depth Learning From Videos With Dual Networks

ICCV 2019

Unsupervised depth learning takes the appearance difference between a target view and a view synthesized from its adjacent frame as supervisory signal.

MONOCULAR DEPTH ESTIMATION

ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation

6 Oct 2019

To address these challenges, we present ClearGrasp -- a deep learning approach for estimating accurate 3D geometry of transparent objects from a single RGB-D image for robotic manipulation.

MONOCULAR DEPTH ESTIMATION

Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances

4 Oct 2019

Dense depth estimation from a single image is a key problem in computer vision, with exciting applications in a multitude of robotic tasks.

MONOCULAR DEPTH ESTIMATION