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 41–50 of 162 papers

TitleStatusHype
Analytic Signal Phase in N-D by Linear Symmetry Tensor--fingerprint modeling—0
CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo—0
Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis—0
Domain Siamese CNNs for Sparse Multispectral Disparity Estimation—0
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery—0
Analysis of different disparity estimation techniques on aerial stereo image datasets—0
4D-MultispectralNet: Multispectral Stereoscopic Disparity Estimation using Human Masks—0
Fast Disparity Estimation from a Single Compressed Light Field Measurement—0
AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks—0
Disparity estimation for fisheye images with an application to intermediate view synthesis—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