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 61–70 of 162 papers

TitleStatusHype
SOccDPT: Semi-Supervised 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints—0
Learning based Deep Disentangling Light Field Reconstruction and Disparity Estimation Application—0
TIDE: Temporally Incremental Disparity Estimation via Pattern Flow in Structured Light SystemCode0
Online Adaptive Disparity Estimation for Dynamic Scenes in Structured Light Systems—0
IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images—0
Video Frame Interpolation with Stereo Event and Intensity Camera—0
Continuous Cost Aggregation for Dual-Pixel Disparity Extraction—0
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression TasksCode0
VisiTherS: Visible-thermal infrared stereo disparity estimation of human silhouetteCode0
Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction—0
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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