Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation in CVPR 2017 (Spotlight)
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Updated
Jun 2, 2018 - C++
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation in CVPR 2017 (Spotlight)
Model compression methods applied to the monocular depth estimation network by Godard et al.
Currently a selection of interesting 3D vision sample tasks solved using pretrained deep models.
Monocular Depth Estimation using Atrous Convolutions
Code for "Unsupervised Domain Adaptation for Depth Prediction from Images" - Coming Soon...
PatchGAN's for refining Monocular Depth Estimation.
Replicated results from DenseDepth using DenseNet169 in Python.
Tensorflow implementation of monocular Residual Matching (monoResMatch) network.
Code for paper: Hualie Jiang, Rui Huang. High Quality Monocular Depth Estimation Via a Multi-Scale Network And a Detail-Preserving Objective. ICIP 2019.
Unofficial Faster PyTorch implementation of Convolutional Spatial Propagation Network
Monocular Object 3D Localization in Road Scenes (ACM MM'19)
Pytorch implementation of "Deep Ordinal Regression Network for Monocular Depth Estimation" paper by Fu et. al.
Real-time visual Simultaneous Localization and Mapping using ORB-SLAM2 for a DJI Tello Drone
This is an implementation of Digging into Self Supervised Learning version 2
Monocular Depth Estimation and Image Segmentation Dataset containing Museum images
Practical Depth Estimation with Image Segmentation and Serial U-Nets
3D obstacle avoidance using perception
[CVPR2020] BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion
Monocular depth estimation from ArgoAI's Lidar based Depth dataset - Depth predictions up-to 200m
Task-Aware Monocular Depth Estimation for 3D Object Detection, AAAI2020
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