awesome-Monocular-Depth-Estimation

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- Recent papers 

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2021

• [IJCV] Unsupervised Scale-consistent Depth Learning from Video [code] (Extended version of NeurIPS 2019) [Project webpage]
• [CVPR] AdaBins: Depth Estimation Using Adaptive Bins [code]
• [CVPR] PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
• [CVPR] Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion
• [CVPR] Single Image Depth Prediction with Wavelet Decomposition [code]
• [CVPR] The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth [code]
• [TIP] Unsupervised Monocular Depth Estimation via Recursive Stereo Distillation
• [TIP] MLDA-Net: Multi-Level Dual Attention-Based Network for Self-Supervised Monocular Depth Estimation
• [TIP] Joint Depth and Defocus Estimation From a Single Image Using Physical Consistency
• [TPAMI] Deep Depth from Uncalibrated Small Motion Clip
• [TPAMI] DENAO: Monocular Depth Estimation Network With Auxiliary Optical Flow
• [CVPR] Vision Transformers for Dense Prediction [code]
• [CVPR] S³: Learnable Sparse Signal Superdensity for Guided Depth Estimation
• [CVPR] Robust Consistent Video Depth Estimation [code]

2020

• [CVPR] 3D Packing for Self-Supervised Monocular Depth Estimation [code] :fire::star:
• [CVPR] Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume [code]
• [CVPR] DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning [code]
• [CVPR] The Edge of Depth: Explicit Constraints between Segmentation and Depth [code]
• [CVPR] Towards Better Generalization: Joint Depth-Pose Learning without PoseNet [code]
• [CVPR] Online Depth Learning against Forgetting in Monocular Videos
• [CVPR] On the uncertainty of self-supervised monocular depth estimation [code]
• [ECCV] S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
• [ECCV] Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation
• [ECCV] Guiding Monocular Depth Estimation Using Depth-Attention Volume
• [ECCV] P²Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation [code]
• [ECCV] Self-Supervised Monocular Depth Estimation Solving the Dynamic Object Problem by Semantic Guidance [code]
• [ECCV] Feature-metric Loss for Self-supervised Learning of Depth and Egomotion [code]
• [ECCV] Multi-Loss Rebalancing Algorithm for Monocular Depth Estimation
• [ECCV] Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets
• [ECCV] CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss
• [TIP] Adversarial Learning for Joint Optimization of Depth and Ego-Motion
• [TIP] An Object Context Integrated Network for JointLearning of Depth and Optical Flow
• [TPAMI] Confidence Propagation through CNNs for Guided Sparse Depth Regression
• [TPAMI] Learning Depth with Convolutional Spatial Propagation Network
• [TPAMI] Progressive_Fusion for Unsupervised Binocular Depth Estimation Using Cycled Networks
• [TPAMI] Semi-Supervised Adversarial Monocular Depth Estimation
• [TPAMI] Unsupervised Domain Adaptation for Depth Prediction from Images
• [NIPS] Forget About the LiDAR: Self-Supervised DepthEstimators with MED Probability Volumes [code]
• [NIPS] Targeted Adversarial Perturbations for Monocular Depth Prediction [code]
• [ECCV] Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
• [ICLR] DeepV2D: video to depth with differentiable
• [ICLR] Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

2019

• [ICCV] Digging Into Self-Supervised Monocular Depth Estimation [code] :fire::star:
• [ICCV] Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras [code] :fire::star:
• [ICCV] Self-Supervised Monocular Depth Hints [code]
• [CVPR] Recurrent Neural Network for (Un-)supervised Learning of Monocular Video Visual Odometry and Depth
• [CVPR] Neural RGB→D Sensing: Depth and Uncertainty from a Video Camera
• [CVPRW] Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics [code]
• [3DV] Enhancing self-supervised monocular depth estimationwith traditional visual odometry

2018

• [CVPR] Deep Ordinal Regression Network for Monocular Depth Estimation [code]
• [CVPR] Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation [code]
• [ECCV] Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss
• [ECCV] Supervising the new with the old: learning SFM from SFM
• [CVPR] Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

2017

• [CVPR] [vidoe]Unsupervised Learning of Depth and Ego-Motion from Video [tensorflow] [pytorch]:fire::star: ​