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 41–50 of 162 papers

TitleStatusHype
GBC-Splat: Generalizable Gaussian-Based Clothed Human Digitalization under Sparse RGB Cameras—0
All-directional Disparity Estimation for Real-world QPD Images—0
Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation—0
Analysis of different disparity estimation techniques on aerial stereo image datasets—0
ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity LearningCode0
Fast Edge-Aware Occlusion Detection in the Context of Multispectral Camera ArraysCode0
EV-MGDispNet: Motion-Guided Event-Based Stereo Disparity Estimation Network with Left-Right Consistency—0
EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching—0
Stereo Risk: A Continuous Modeling Approach to Stereo Matching—0
Multispectral Snapshot Image Registration Using Learned Cross Spectral Disparity Estimation and a Deep Guided Occlusion Reconstruction NetworkCode0
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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