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 61–70 of 162 papers

TitleStatusHype
Fast Disparity Estimation from a Single Compressed Light Field Measurement—0
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom—0
Blur-Aware Disparity Estimation From Defocus Stereo Images—0
Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization—0
Disparity-Aware Domain Adaptation in Stereo Image Restoration—0
Disentangling Light Fields for Super-Resolution and Disparity Estimation—0
All-directional Disparity Estimation for Real-world QPD Images—0
DiFuse-Net: RGB and Dual-Pixel Depth Estimation using Window Bi-directional Parallax Attention and Cross-modal Transfer Learning—0
ADCPNet: Adaptive Disparity Candidates Prediction Network for Efficient Real-Time Stereo Matching—0
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context—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