[ICCV 2019] Monocular depth estimation from a single image

[CVPR 2021] Self-supervised depth estimation from short sequences

Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch

[ECCV 2020] Learning stereo from single images using monocular depth estimation networks

[CVPR 2020] Estimation of the visible and hidden traversable space from a single color image

[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue

[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation

Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019

Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018

Enforcing Temporal Consistency in Video Depth Estimation, ICCV-W 2021.

DIODE Development Toolkit

Tensorflow implementation(unofficial) of "Digging into Self-Supervised Monocular Depth Prediction"

Depth Estimate GUI - Windows, Mac, Linux

Open source training framework for vision tasks. Scales up on data and scales up on tasks. Official Implementation for https://arxiv.org/abs/2310.00920

Pytorch implementation of monodepth

PyTorch implementation of Unsupervised Monocular Depth Estimation with Left-Right Consistency

Depth Estimation From a Single Image Using Guided Deep Network

Monocular depth estimation by segmentation models for NYU-depth v2 dataset. Simple PyTorch Lightning implementation.

Self-supervised monocular depth estimation

Unsupervised Monocular Depth Estimation with Left-Right Consistency by chainer

A Tensorflow 2.x implementation of Monodepth2. https://arxiv.org/abs/1806.01260

Revised MonoDepth2 for LibTorch C++ inference.

No description provided.

Dataset about paper <<A. Mingozzi, A. Conti, F. Aleotti, M. Poggi, S. Mattoccia, “Monitoring social distancing with single image depth estimation”, accepted on IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2022>>

Code for monocular depth prediction using semantic information

auto1111 extension txt-to-3d. This uses monodepth maps + bpy (blender). WIP