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
Learning on the Edge: Explicit Boundary Handling in CNNsCode0
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression TasksCode0
ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity LearningCode0
Fast Edge-Aware Occlusion Detection in the Context of Multispectral Camera ArraysCode0
Multispectral Snapshot Image Registration Using Learned Cross Spectral Disparity Estimation and a Deep Guided Occlusion Reconstruction NetworkCode0
SENSE: a Shared Encoder Network for Scene-flow EstimationCode0
Fast Disparity Estimation from a Single Compressed Light Field Measurement—0
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom—0
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks—0
DDCNet: Deep Dilated Convolutional Neural Network for Dense Prediction—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