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 51–60 of 162 papers

TitleStatusHype
Rectified Iterative Disparity for Stereo Matching—0
SR-Stereo & DAPE: Stepwise Regression and Pre-trained Edges for Practical Stereo MatchingCode0
VHS: High-Resolution Iterative Stereo Matching with Visual Hull Priors—0
Multi-view Disparity Estimation Using a Novel Gradient Consistency Model—0
Iterative Occlusion-Aware Light Field Depth Estimation using 4D Geometrical Cues—0
Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging—0
Digging Into Normal Incorporated Stereo MatchingCode0
Left-right Discrepancy for Adversarial Attack on Stereo Networks—0
Color Agnostic Cross-Spectral Disparity EstimationCode0
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context—0
Show:102550
← PrevPage 6 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