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 71–80 of 162 papers

TitleStatusHype
Learning Light Field Reconstruction from a Single Coded Image—0
Left-Right Comparative Recurrent Model for Stereo Matching—0
IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images—0
Hyperspectral Light Field Stereo Matching—0
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task—0
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context—0
Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization—0
Investigating Spherical Epipolar Rectification for Multi-View Stereo 3D Reconstruction—0
High-Performance and Tunable Stereo Reconstruction—0
A Lightweight Neural Network for Monocular View Generation with Occlusion Handling—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