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 81–90 of 162 papers

TitleStatusHype
Iterative Occlusion-Aware Light Field Depth Estimation using 4D Geometrical Cues—0
Learning based Deep Disentangling Light Field Reconstruction and Disparity Estimation Application—0
EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching—0
Learning Light Field Reconstruction from a Single Coded Image—0
Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity—0
Left-Right Comparative Recurrent Model for Stereo Matching—0
Left-right Discrepancy for Adversarial Attack on Stereo Networks—0
Recovering Detail in 3D Shapes Using Disparity Maps—0
Light Field Intrinsics With a Deep Encoder-Decoder Network—0
Light Field Super-Resolution Via Graph-Based Regularization—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