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 121–130 of 162 papers

TitleStatusHype
Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation—0
4D-MultispectralNet: Multispectral Stereoscopic Disparity Estimation using Human Masks—0
RobuSTereo: Robust Zero-Shot Stereo Matching under Adverse Weather—0
CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo—0
Blur-Aware Disparity Estimation From Defocus Stereo Images—0
VommaNet: an End-to-End Network for Disparity Estimation from Reflective and Texture-less Light Field Images—0
SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume—0
SegStereo: Exploiting Semantic Information for Disparity Estimation—0
Semi-Supervised Disparity Estimation with Deep Feature Reconstruction—0
All-directional Disparity Estimation for Real-world QPD Images—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