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

Showing 51–75 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
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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