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 91–100 of 162 papers

TitleStatusHype
Light-field view synthesis using convolutional block attention module—0
Adjusting Bias in Long Range Stereo Matching: A semantics guided approach—0
Low Compute and Fully Parallel Computer Vision With HashMatch—0
MABNet: A Lightweight Stereo Network Based on Multibranch Adjustable Bottleneck Module—0
MAP Disparity Estimation Using Hidden Markov Trees—0
Matching entropy based disparity estimation from light field—0
Deep Event Stereo Leveraged by Event-to-Image Translation—0
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom—0
Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images—0
Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction—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