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

Showing 76100 of 162 papers

TitleStatusHype
SBEVNet: End-to-End Deep Stereo Layout EstimationCode1
A Decomposition Model for Stereo MatchingCode0
CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo0
CFNet: Cascade and Fused Cost Volume for Robust Stereo MatchingCode1
SMD-Nets: Stereo Mixture Density NetworksCode1
Multimedia Technology Applications and Algorithms: A Survey0
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep LearningCode0
YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D DetectionCode1
Deep Event Stereo Leveraged by Event-to-Image Translation0
Fast Light-Field Disparity Estimation With Multi-Disparity-Scale Cost AggregationCode1
Full Matching on Low Resolution for Disparity Estimation0
Depth estimation from 4D light field videosCode1
Light-field view synthesis using convolutional block attention module0
ADCPNet: Adaptive Disparity Candidates Prediction Network for Efficient Real-Time Stereo Matching0
EDNet: Efficient Disparity Estimation with Cost Volume Combination and Attention-based Spatial Residual0
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-resolution0
Adjusting Bias in Long Range Stereo Matching: A semantics guided approach0
MABNet: A Lightweight Stereo Network Based on Multibranch Adjustable Bottleneck Module0
A Lightweight Neural Network for Monocular View Generation with Occlusion Handling0
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 Restoration0
Show:102550
← PrevPage 4 of 7Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)62.05Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)53.3Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)74.77Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)17.75Unverified