Unsupervised Monocular Depth Estimation

32 papers with code • 5 benchmarks • 4 datasets

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Most implemented papers

Unsupervised Monocular Depth Estimation with Left-Right Consistency

mrharicot/monodepth CVPR 2017

Learning based methods have shown very promising results for the task of depth estimation in single images.

Digging Into Self-Supervised Monocular Depth Estimation

nianticlabs/monodepth2 4 Jun 2018

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

Unsupervised Monocular Depth Learning in Dynamic Scenes

google-research/google-research 30 Oct 2020

We present a method for jointly training the estimation of depth, ego-motion, and a dense 3D translation field of objects relative to the scene, with monocular photometric consistency being the sole source of supervision.

Towards real-time unsupervised monocular depth estimation on CPU

mattpoggi/pydnet 29 Jun 2018

To tackle this issue, in this paper we propose a novel architecture capable to quickly infer an accurate depth map on a CPU, even of an embedded system, using a pyramid of features extracted from a single input image.

Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras

google-research/google-research ICCV 2019

We present a novel method for simultaneous learning of depth, egomotion, object motion, and camera intrinsics from monocular videos, using only consistency across neighboring video frames as supervision signal.

A General and Adaptive Robust Loss Function

google-research/google-research CVPR 2019

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

SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes

JiawangBian/sc_depth_pl 7 Nov 2022

Self-supervised monocular depth estimation has shown impressive results in static scenes.

Dual CNN Models for Unsupervised Monocular Depth Estimation

ishmav16/Dual-CNN-Models-for-Unsupervised-Monocular-Depth-Estimation 16 Apr 2018

The unsupervised depth estimation is the recent trend by utilizing the binocular stereo images to get rid of depth map ground truth.

Learning monocular depth estimation with unsupervised trinocular assumptions

mattpoggi/3net 5 Aug 2018

Obtaining accurate depth measurements out of a single image represents a fascinating solution to 3D sensing.