Disparity Estimation
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Benchmarks
Sintel 4D LFV - bamboo3
Sintel 4D LFV - shaman2
Most implemented
MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching
Blur aware metric depth estimation with multi-focus plenoptic cameras
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
SMD-Nets: Stereo Mixture Density Networks
Papers
AsymFeX: A Symmetry-Driven Framework for Ischemic Stroke Segmentation Across Imaging Modalities and Stroke Stages
Fast and accurate segmentation of Acute Ischemic Stroke (AIS) lesions is essential for stroke prognosis and treatment planning. Non-contrast CT (NCCT), the first-line imaging modality for diagnosing ischemic infarcts, ex…
Disparity EstimationFrequency-Structured Field Learning for Light-Field Disparity Estimation
Light-field disparity estimation requires global consistency in smooth or textureless regions and local precision near occlusion boundaries, thin structures, and abrupt depth transitions. Existing methods address these r…
Disparity EstimationURS-Stereo: Uncertainty-Guided Residual Search for Real-Time Stereo Matching
Real-time stereo matching is crucial for robotics, autonomous systems, and embedded vision applications, where both computational efficiency and disparity accuracy are required. Recent coarse-to-fine stereo matching meth…
Computational EfficiencyDisparity EstimationSpherical-to-ERP Epipolar Rectification for Single-Axis Disparity in 360 Stereo
Omnidirectional stereo images provide full-surround perception but violate the geometric assumptions of classical disparity estimation: in spherical or fisheye views, epipolar correspondences follow curved great-circle p…
Disparity EstimationDouble-Helix Vision (DH-V2): A Geometry-Based Visual Sampler for Bandwidth-Constrained Perception
We present Double-Helix Vision (DH), a geometry-based visual sampler that compresses 2D images into compact 1D signals using paired golden-ratio-inspired spiral trajectories. Rather than processing every pixel uniformly,…
Disparity EstimationNon-Learning Low-Light Stereo Vision
We present a non-learning stereo framework for disparity estimation from severely noisy images. Using the Field of Junctions (FoJ), it retains coarse visual features stable under severe noise for cost volume construction…
Disparity Estimation