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 141–150 of 162 papers

TitleStatusHype
Stereo Image Rain Removal via Dual-View Mutual Attention—0
Stereo Risk: A Continuous Modeling Approach to Stereo Matching—0
Analytic Signal Phase in N-D by Linear Symmetry Tensor--fingerprint modeling—0
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery—0
Disparity estimation for fisheye images with an application to intermediate view synthesis—0
Domain Siamese CNNs for Sparse Multispectral Disparity Estimation—0
EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching—0
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection—0
EDNet: Efficient Disparity Estimation with Cost Volume Combination and Attention-based Spatial Residual—0
Stereo under Sequential Optimal Sampling: A Statistical Analysis Framework for Search Space Reduction—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