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
Movement-induced Priors for Deep StereoCode0
Do End-to-end Stereo Algorithms Under-utilize Information?Code1
Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Super-resolution—0
Adjusting Bias in Long Range Stereo Matching: A semantics guided approach—0
MABNet: A Lightweight Stereo Network Based on Multibranch Adjustable Bottleneck Module—0
A Lightweight Neural Network for Monocular View Generation with Occlusion Handling—0
Wasserstein Distances for Stereo Disparity EstimationCode1
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo MatchingCode1
BidNet: Binocular Image Dehazing Without Explicit Disparity EstimationCode0
Disparity-Aware Domain Adaptation in Stereo Image Restoration—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