Monocular depth prediction with PyTorch

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)

[ECCV 2018]: T2Net: Synthetic-to-Realistic Translation for Depth Estimation Tasks

a convolutional-neural-network-based architecture, called infrared and visible images fusion network (IVFuseNet)

A CNN based Depth, Optical Flow, Flow Uncertainty and Camera Pose Prediction pipeline

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

An implementation of https://arxiv.org/abs/1406.2283 in PyTorch.

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

A Sample App for CoreML in macOS

Single Image Depth Estimation with Feature Pyramid Network

Quick lookup for BlendedMVS scenes

Code for T-ITS paper "Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry" and for ICRA paper "Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks".

Repository to improve DORN for depth completion with adding in-between depth predictions for discretized depths.

PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

This is the UNOFFICIAL implementation of the ICCV 2019 paper 'Exploiting Temporal Consistency for Real-Time Video Depth Estimation'.

The example of running Depth Prediction using Core ML

Mono depth estimation for self-driving cars 🚗