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depth-estimation-paper's Introduction

depth-estimation

monocular depth estimation based deep learning : survey, tistory

  • supervised monocular depth estimation
  • unsupervised monocular depth estimation
  • semi-supervised monocular depth estimation

Supervised monocular depth estimation

different architectures and loss functions

Name year paper summary code
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network NeurIPS 2014 paper tistory
Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture ICCV 2015 paper tistory
Deeper Depth Prediction with Fully Convolutional Residual Networks 3DV 2016 paper tistory
Single-Image Depth Perception in the Wild NeurIPS 2016 paper tistory
Deep Ordinal Regression Network for Monocular Depth Estimation CVPR 2018 paper
Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation ECCV 2018 paper

conditional random fields

Name year paper summary code
Deep Convolutional Neural Fields for Depth Estimation from a Single Image CVPR 2015 paper
Structured attention guided convolutional neural fields for monocular depth estimation CVPR 2018 paper

adversarial learning

Name year paper summary code
Depth prediction from a single image with conditional adversarial networks ICIP 2017 paper
Generative adversarial networks for depth map estimation from rgb video CVPR 2018 paper
Sganvo: Unsupervised deep visual odometry and depth estimation with stacked generative adversarial networks 2019 paper

Unsupervised monocular depth estimation

Name year paper summary code
Unsupervised Learning of Depth and Ego-Motion from Video CVPR 2017 paper
Unsupervised Monocular Depth Estimation with Left-Right Consistency CVPR 2017 paper
Digging Into Self-Supervised Monocular Depth Estimation ICCV 2019 paper

explainability mask

Name year paper summary code
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints CVPR 2018 paper
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video NeurIPS 2019 paper

traditional visual odometry

Name year paper summary code
Learning Depth from Monocular Videos using Direct Methods CVPR 2018 paper

multi-tasks framework

Name year paper summary code
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras ICCV 2019 paper
  • adversarial learning

Semi-supervised monocular depth estimation

  • stereo matching
  • adveraraial learning and knowledge distillation
  • sparse ground truth

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