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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 61–70 of 162 papers

TitleStatusHype
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
Show:102550
← PrevPage 7 of 17Next →
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