Browse > Computer Vision > Depth Estimation > Monocular Depth Estimation

Monocular Depth Estimation

42 papers with code · Computer Vision
Subtask of Depth Estimation

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Latest papers with code

Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth Estimation

26 Nov 2019kspeng/lw-eg-monodepth

In this paper, we propose a novel Edge-Guided post-processing to reduce the occlusion fading issue for self-supervised monocular depth estimation.

MONOCULAR DEPTH ESTIMATION

5
26 Nov 2019

Digging Into Self-Supervised Monocular Depth Estimation

ICCV 2019 nianticlabs/monodepth2

Per-pixel ground-truth depth data is challenging to acquire at scale.

MONOCULAR DEPTH ESTIMATION

993
01 Oct 2019

Task-Aware Monocular Depth Estimation for 3D Object Detection

17 Sep 2019WXinlong/ForeSeE

In this paper, we first analyse the data distributions and interaction of foreground and background, then propose the foreground-background separated monocular depth estimation (ForeSeE) method, to estimate the foreground depth and background depth using separate optimization objectives and depth decoders.

3D OBJECT DETECTION 3D OBJECT RECOGNITION MONOCULAR DEPTH ESTIMATION

6
17 Sep 2019

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video

NeurIPS 2019 JiawangBian/SC-SfMLearner-Release

To the best of our knowledge, this is the first work to show that deep networks trained using unlabelled monocular videos can predict globally scale-consistent camera trajectories over a long video sequence.

#13 best model for Monocular Depth Estimation on KITTI Eigen split (using extra training data)

DEPTH AND CAMERA MOTION MONOCULAR DEPTH ESTIMATION VISUAL ODOMETRY

269
28 Aug 2019

Index Network

11 Aug 2019poppinace/indexnet_matting

By viewing the indices as a function of the feature map, we introduce the concept of "learning to index", and present a novel index-guided encoder-decoder framework where indices are self-learned adaptively from data and are used to guide the downsampling and upsampling stages, without extra training supervision.

IMAGE DENOISING IMAGE MATTING MONOCULAR DEPTH ESTIMATION SEMANTIC SEGMENTATION

118
11 Aug 2019

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

24 Jul 2019cogaplex-bts/bts

Estimating accurate depth from a single image is challenging, because it is an ill-posed problem as infinitely many 3D scenes can be projected to the same 2D scene.

MONOCULAR DEPTH ESTIMATION

141
24 Jul 2019

Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map Prediction

23 Jul 2019hekmak/Conf-net

Using our predicted error-map, we demonstrate that by up-filling a LiDAR point cloud from 18, 000 points to 285, 000 points, versus 300, 000 points for full depth, we can reduce the RMSE error from 1004 to 399.

AUTONOMOUS DRIVING DEPTH COMPLETION MONOCULAR DEPTH ESTIMATION

17
23 Jul 2019

Structure-Aware Residual Pyramid Network for Monocular Depth Estimation

13 Jul 2019Xt-Chen/SARPN

We propose a Residual Pyramid Decoder (RPD) which expresses global scene structure in upper levels to represent layouts, and local structure in lower levels to present shape details.

MONOCULAR DEPTH ESTIMATION SCENE UNDERSTANDING

43
13 Jul 2019

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

2 Jul 2019intel-isl/MiDaS

In particular, we propose a robust training objective that is invariant to changes in depth range and scale, advocate the use of principled multi-objective learning to combine data from different sources, and highlight the importance of pretraining encoders on auxiliary tasks.

MONOCULAR DEPTH ESTIMATION

123
02 Jul 2019