[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

[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

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

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

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

DIODE Development Toolkit

Depth Estimate GUI - Windows, Mac, Linux

Pytorch implementation of monodepth

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 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