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 81–90 of 162 papers

TitleStatusHype
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
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
SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume—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