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Depth Prediction

Papers

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Showing 351–400 of 422 papers

TitleStatusHype
Learning the Depths of Moving People by Watching Frozen People—0
Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes—0
Absolute Human Pose Estimation with Depth Prediction NetworkCode0
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown CamerasCode0
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth EstimationCode0
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View DepthCode0
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
Sparse2Dense: From direct sparse odometry to dense 3D reconstruction—0
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth PredictionCode0
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation—0
Self-supervised Learning for Single View Depth and Surface Normal Estimation—0
Sparse and noisy LiDAR completion with RGB guidance anduncertaintyCode0
Sparse and noisy LiDAR completion with RGB guidance and uncertaintyCode0
Fast and Efficient Lenslet Image Compression—0
Monocular Outdoor Semantic Mapping with a Multi-task Network—0
Plug-and-Play: Improve Depth Estimation via Sparse Data PropagationCode0
Learning Common Representation from RGB and Depth Images—0
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry PerceptionCode0
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color ImageCode0
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual DetectionCode0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning—0
Self-Supervised Learning of Depth and Camera Motion from 360° Videos—0
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary CellsCode1
DeepLens: Shallow Depth Of Field From A Single Image—0
Geometry meets semantics for semi-supervised monocular depth estimationCode0
Learning Depth with Convolutional Spatial Propagation NetworkCode0
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation—0
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth PredictionCode0
End-to-end depth from motion with stabilized monocular videos—0
Learning structure-from-motion from motion—0
Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information—0
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?Code0
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task ConsistencyCode0
Simultaneous Localization And Mapping with depth Prediction using Capsule Networks for UAVs—0
DeepTAM: Deep Tracking and MappingCode0
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation TasksCode0
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation NetworkCode0
Geo-Supervised Visual Depth PredictionCode0
CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks—0
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth PredictionCode0
Peeking Behind Objects: Layered Depth Prediction from a Single Image—0
ENG: End-to-end Neural Geometry for Robust Depth and Pose Estimation using CNNs—0
Deep attention-based classification network for robust depth predictionCode0
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry—0
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy—0
Monocular Depth Estimation with Augmented Ordinal Depth Relationships—0
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion SegmentationCode0
Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors—0
PlaneNet: Piece-wise Planar Reconstruction from a Single RGB ImageCode0
MegaDepth: Learning Single-View Depth Prediction from Internet PhotosCode1
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