Statistics: ๐ฅ code is available & stars >= 100 โ|โ โญ citation >= 50
- [IJCV] Unsupervised Scale-consistent Depth Learning from Video [code]
(Extended version of NeurIPS 2019) [Project webpage] ๐ฅ
- [CVPR] AdaBins: Depth Estimation Using Adaptive Bins [code]
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- [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]
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- [CVPR] The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth [code]
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- [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]
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- [CVPR] S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation
- [CVPR] Robust Consistent Video Depth Estimation [code]
- [CVPR] 3D Packing for Self-Supervised Monocular Depth Estimation [code]
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- [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]
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- [CVPR] Online Depth Learning against Forgetting in Monocular Videos
- [CVPR] On the uncertainty of self-supervised monocular depth estimation [code]
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- [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]
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- [ECCV] Feature-metric Loss for Self-supervised Learning of Depth and Egomotion [code]
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- [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
- [ICCV] Digging Into Self-Supervised Monocular Depth Estimation [code]
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- [ICCV] Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras [code]
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- [ICCV] Self-Supervised Monocular Depth Hints [code]
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- [CVPR] Recurrent Neural Network for (Un-)supervised Learning of Monocular Video Visual Odometry and Depth
- [CVPR] Neural RGBโD 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
- [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
- [CVPR] [vidoe]Unsupervised Learning of Depth and Ego-Motion from Video [tensorflow]
[pytorch]
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