SOTAVerified

Disparity Estimation

The Disparity Estimation is the task of finding the pixels in the multiscopic views that correspond to the same 3D point in the scene.

Papers

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Showing 51–100 of 162 papers

TitleStatusHype
Disparity estimation for fisheye images with an application to intermediate view synthesis—0
Stereo Image Rain Removal via Dual-View Mutual Attention—0
Matching entropy based disparity estimation from light field—0
Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel SupervisionsCode1
Fast Disparity Estimation from a Single Compressed Light Field Measurement—0
Bayesian Learning for Disparity Map Refinement for Semi-Dense Active Stereo Vision—0
Perception-Oriented Stereo Image Super-Resolution—0
ORA3D: Overlap Region Aware Multi-view 3D Object Detection—0
Recovering Detail in 3D Shapes Using Disparity Maps—0
4D-MultispectralNet: Multispectral Stereoscopic Disparity Estimation using Human Masks—0
Investigating Spherical Epipolar Rectification for Multi-View Stereo 3D Reconstruction—0
OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation—0
Disentangling Light Fields for Super-Resolution and Disparity Estimation—0
Sparse LiDAR Assisted Self-supervised Stereo Disparity Estimation—0
Stereoscopic Universal Perturbations across Different Architectures and DatasetsCode1
TriStereoNet: A Trinocular Framework for Multi-baseline Disparity EstimationCode1
Stereo Hybrid Event-Frame (SHEF) Cameras for 3D PerceptionCode1
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks—0
Welsch Based Multiview Disparity Estimation—0
A Novel Factor Graph-Based Optimization Technique for Stereo Correspondence Estimation—0
MobileStereoNet: Towards Lightweight Deep Networks for Stereo MatchingCode1
SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume—0
DDCNet: Deep Dilated Convolutional Neural Network for Dense Prediction—0
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity EstimationCode1
Semi-Supervised Disparity Estimation with Deep Feature Reconstruction—0
SBEVNet: End-to-End Deep Stereo Layout EstimationCode1
A Decomposition Model for Stereo MatchingCode0
CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo—0
CFNet: Cascade and Fused Cost Volume for Robust Stereo MatchingCode1
SMD-Nets: Stereo Mixture Density NetworksCode1
Multimedia Technology Applications and Algorithms: A Survey—0
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep LearningCode0
YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D DetectionCode1
Deep Event Stereo Leveraged by Event-to-Image Translation—0
Fast Light-Field Disparity Estimation With Multi-Disparity-Scale Cost AggregationCode1
Full Matching on Low Resolution for Disparity Estimation—0
Depth estimation from 4D light field videosCode1
Light-field view synthesis using convolutional block attention module—0
ADCPNet: Adaptive Disparity Candidates Prediction Network for Efficient Real-Time Stereo Matching—0
EDNet: Efficient Disparity Estimation with Cost Volume Combination and Attention-based Spatial Residual—0
Movement-induced Priors for Deep StereoCode0
Do End-to-end Stereo Algorithms Under-utilize Information?Code1
Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Super-resolution—0
Adjusting Bias in Long Range Stereo Matching: A semantics guided approach—0
MABNet: A Lightweight Stereo Network Based on Multibranch Adjustable Bottleneck Module—0
A Lightweight Neural Network for Monocular View Generation with Occlusion Handling—0
Wasserstein Distances for Stereo Disparity EstimationCode1
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo MatchingCode1
BidNet: Binocular Image Dehazing Without Explicit Disparity EstimationCode0
Disparity-Aware Domain Adaptation in Stereo Image Restoration—0
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All datasetsSintel 4D LFV - ambushfight5Sintel 4D LFV - bamboo3Sintel 4D LFV - shaman2Sintel 4D LFV - thebigfight2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)62.05—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)53.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)74.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)17.75—Unverified