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Depth Completion

22 papers with code · Computer Vision

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Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera

1 Jul 2018fangchangma/self-supervised-depth-completion

Depth completion, the technique of estimating a dense depth image from sparse depth measurements, has a variety of applications in robotics and autonomous driving.

AUTONOMOUS DRIVING DEPTH COMPLETION

Learning Depth with Convolutional Spatial Propagation Network

4 Oct 2018XinJCheng/CSPN

In this paper, we propose a simple yet effective convolutional spatial propagation network (CSPN) to learn the affinity matrix for various depth estimation tasks.

DEPTH COMPLETION DEPTH ESTIMATION STEREO MATCHING STEREO MATCHING HAND

Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation

17 Oct 2016fangchangma/sparse-to-dense.pytorch

Many standard robotic platforms are equipped with at least a fixed 2D laser range finder and a monocular camera.

DEPTH COMPLETION

Sparse and noisy LiDAR completion with RGB guidance anduncertainty

arXiv 2019 wvangansbeke/Sparse-Depth-Completion

For autonomous vehicles and robotics the use of LiDAR is indispensable in order to achieve precise depth predictions.

AUTONOMOUS VEHICLES DEPTH COMPLETION DEPTH ESTIMATION

Sparse and noisy LiDAR completion with RGB guidance and uncertainty

14 Feb 2019wvangansbeke/Sparse-Depth-Completion

However, we additionally propose a fusion method with RGB guidance from a monocular camera in order to leverage object information and to correct mistakes in the sparse input.

AUTONOMOUS VEHICLES DEPTH COMPLETION DEPTH ESTIMATION

In Defense of Classical Image Processing: Fast Depth Completion on the CPU

31 Jan 2018kujason/ip_basic

With the rise of data driven deep neural networks as a realization of universal function approximators, most research on computer vision problems has moved away from hand crafted classical image processing algorithms.

DEPTH COMPLETION

DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image

CVPR 2019 JiaxiongQ/DeepLiDAR

In this paper, we propose a deep learning architecture that produces accurate dense depth for the outdoor scene from a single color image and a sparse depth.

DEPTH COMPLETION DEPTH ESTIMATION

Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision

4 Jun 2019fregu856/evaluating_bdl

We therefore accept this task and propose a comprehensive evaluation framework for scalable epistemic uncertainty estimation methods in deep learning.

DEPTH COMPLETION SEMANTIC SEGMENTATION

Learning Guided Convolutional Network for Depth Completion

3 Aug 2019kakaxi314/GuideNet

It is thus necessary to complete the sparse LiDAR data, where a synchronized guidance RGB image is often used to facilitate this completion.

AUTONOMOUS DRIVING DEPTH COMPLETION