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Monocular Depth Estimation

36 papers with code · Computer Vision
Subtask of Depth Estimation

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High Quality Monocular Depth Estimation via Transfer Learning

31 Dec 2018ialhashim/DenseDepth

Accurate depth estimation from images is a fundamental task in many applications including scene understanding and reconstruction.

MONOCULAR DEPTH ESTIMATION SCENE UNDERSTANDING TRANSFER LEARNING

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

CVPR 2018 Huangying-Zhan/Depth-VO-Feat

Despite learning based methods showing promising results in single view depth estimation and visual odometry, most existing approaches treat the tasks in a supervised manner.

DEPTH AND CAMERA MOTION MONOCULAR DEPTH ESTIMATION VISUAL ODOMETRY

Fast Robust Monocular Depth Estimation for Obstacle Detection with Fully Convolutional Networks

21 Jul 2016fangchangma/sparse-to-dense.pytorch

We propose a novel appearance-based Object Detection system that is able to detect obstacles at very long range and at a very high speed (~300Hz), without making assumptions on the type of motion.

MONOCULAR DEPTH ESTIMATION OBJECT DETECTION

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

CVPR 2019 anuragranj/cc

We address the unsupervised learning of several interconnected problems in low-level vision: single view depth prediction, camera motion estimation, optical flow, and segmentation of a video into the static scene and moving regions.

MONOCULAR DEPTH ESTIMATION MOTION ESTIMATION MOTION SEGMENTATION OPTICAL FLOW ESTIMATION

Deep Ordinal Regression Network for Monocular Depth Estimation

CVPR 2018 hufu6371/DORN

These methods model depth estimation as a regression problem and train the regression networks by minimizing mean squared error, which suffers from slow convergence and unsatisfactory local solutions.

MONOCULAR DEPTH ESTIMATION

FastDepth: Fast Monocular Depth Estimation on Embedded Systems

8 Mar 2019dwofk/fast-depth

In this paper, we address the problem of fast depth estimation on embedded systems.

MONOCULAR DEPTH ESTIMATION NETWORK PRUNING

A General and Adaptive Robust Loss Function

CVPR 2019 jonbarron/robust_loss_pytorch

We present a generalization of the Cauchy/Lorentzian, Geman-McClure, Welsch/Leclerc, generalized Charbonnier, Charbonnier/pseudo-Huber/L1-L2, and L2 loss functions.

IMAGE GENERATION MONOCULAR DEPTH ESTIMATION

Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries

23 Mar 2018JunjH/Revisiting_Single_Depth_Estimation

Experimental results show that these two improvements enable to attain higher accuracy than the current state-of-the-arts, which is given by finer resolution reconstruction, for example, with small objects and object boundaries.

MONOCULAR DEPTH ESTIMATION