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 26–50 of 162 papers

TitleStatusHype
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow EstimationCode1
An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo datasetCode1
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
SMD-Nets: Stereo Mixture Density NetworksCode1
Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel SupervisionsCode1
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity EstimationCode1
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal EstimationCode1
Attention-based View Selection Networks for Light-field Disparity EstimationCode1
SBEVNet: End-to-End Deep Stereo Layout EstimationCode1
CFNet: Cascade and Fused Cost Volume for Robust Stereo MatchingCode1
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom—0
DDCNet: Deep Dilated Convolutional Neural Network for Dense Prediction—0
A Novel Factor Graph-Based Optimization Technique for Stereo Correspondence Estimation—0
Continuous Cost Aggregation for Dual-Pixel Disparity Extraction—0
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks—0
Analytic Signal Phase in N-D by Linear Symmetry Tensor--fingerprint modeling—0
CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo—0
Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis—0
Domain Siamese CNNs for Sparse Multispectral Disparity Estimation—0
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery—0
Analysis of different disparity estimation techniques on aerial stereo image datasets—0
4D-MultispectralNet: Multispectral Stereoscopic Disparity Estimation using Human Masks—0
Fast Disparity Estimation from a Single Compressed Light Field Measurement—0
AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks—0
Disparity estimation for fisheye images with an application to intermediate view synthesis—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