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 151–162 of 162 papers

TitleStatusHype
End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching—0
Disparity-Aware Domain Adaptation in Stereo Image Restoration—0
Estimating disparity with confidence from energy neurons—0
EV-MGDispNet: Motion-Guided Event-Based Stereo Disparity Estimation Network with Left-Right Consistency—0
Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis—0
Disentangling Light Fields for Super-Resolution and Disparity Estimation—0
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks—0
Fast Disparity Estimation from a Single Compressed Light Field Measurement—0
Analysis of different disparity estimation techniques on aerial stereo image datasets—0
A Lightweight Neural Network for Monocular View Generation with Occlusion Handling—0
DiFuse-Net: RGB and Dual-Pixel Depth Estimation using Window Bi-directional Parallax Attention and Cross-modal Transfer Learning—0
Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task—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