Monocular Depth Estimation

129 papers with code • 8 benchmarks • 13 datasets

The Monocular Depth Estimation is the task of estimating scene depth using a single image.

Source: Defocus Deblurring Using Dual-Pixel Data

Latest papers with code

Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network

lochenchou/DORN_radar 15 Jul 2021

We integrate sparse radar data into a monocular depth estimation model and introduce a novel preprocessing method for reducing the sparseness and limited field of view provided by radar.

Monocular Depth Estimation

15 Jul 2021

Depth-Guided Camouflaged Object Detection

JingZhang617/RGBD-COD 24 Jun 2021

Camouflaged object detection (COD) aims to segment camouflaged objects hiding in the environment, which is challenging due to the similar appearance of camouflaged objects and their surroundings.

Monocular Depth Estimation Object Detection +2

24 Jun 2021

Self-Supervised Monocular Depth Estimation of Untextured Indoor Rotated Scenes

tudelft/filled-disparity-monodepth 24 Jun 2021

Our experiments show that depth estimation is substantially improved on low-texture scenes, without any loss on textured scenes, when compared to Monodepth by Godard et al. Secondly, we show that training with an application's representative rotations, in both pitch and roll, is sufficient to significantly improve performance over the entire range of expected rotation.

Image Reconstruction Monocular Depth Estimation +1

24 Jun 2021

Single Image Depth Prediction With Wavelet Decomposition

nianticlabs/wavelet-monodepth CVPR 2021

We present a novel method for predicting accurate depths from monocular images with high efficiency.

Monocular Depth Estimation

19 Jun 2021

Single Image Depth Estimation using Wavelet Decomposition

nianticlabs/wavelet-monodepth 3 Jun 2021

We present a novel method for predicting accurate depths from monocular images with high efficiency.

Monocular Depth Estimation

03 Jun 2021

Unsupervised Scale-consistent Depth Learning from Video

JiawangBian/SC-SfMLearner-Release 25 May 2021

We propose a monocular depth estimator SC-Depth, which requires only unlabelled videos for training and enables the scale-consistent prediction at inference time.

Monocular Depth Estimation Monocular Visual Odometry +1

25 May 2021

M4Depth: A motion-based approach for monocular depth estimation on video sequences

michael-fonder/M4Depth 20 May 2021

In this paper, we present a method to estimate the distance of objects seen by an on-board mounted camera by using its RGB video stream and drone motion information.

Autonomous Vehicles Monocular Depth Estimation

20 May 2021

Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation

susaha/ctrl-uda CVPR 2021

Specifically, we show that: (1) our approach improves performance on all tasks when they are complementary and mutually dependent; (2) the CTRL helps to improve both semantic segmentation and depth estimation tasks performance in the challenging UDA setting; (3) the proposed ISL training scheme further improves the semantic segmentation performance.

Monocular Depth Estimation Multi-Task Learning +2

17 May 2021

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth

nianticlabs/manydepth CVPR 2021

We propose ManyDepth, an adaptive approach to dense depth estimation that can make use of sequence information at test time, when it is available.

Monocular Depth Estimation

29 Apr 2021