Papers Disparity Estimation
“Disparity Estimation” 태그가 달린 논문 175편 · 필터 해제
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 EstimationBeyond Geometry: Artistic Disparity Synthesis for Immersive 2D-to-3D
Current 2D-to-3D conversion methods achieve geometric accuracy but are artistically deficient, failing to replicate the immersive and emotionally resonant experience of professional 3D cinema. This is because geometric r…
Disparity EstimationProgressive Per-Branch Depth Optimization for DEFOM-Stereo and SAM3 Joint Analysis in UAV Forestry Applications
Accurate per-branch 3D reconstruction is a prerequisite for autonomous UAV-based tree pruning; however, dense disparity maps from modern stereo matchers often remain too noisy for individual branch analysis in complex fo…
Instance SegmentationDisparity Estimation3D ReconstructionPoint CloudsDenVisCoM: Dense Vision Correspondence Mamba for Efficient and Real-time Optical Flow and Stereo Estimation
In this work, we propose a novel Mamba block DenVisCoM, as well as a novel hybrid architecture specifically tailored for accurate and real-time estimation of optical flow and disparity estimation. Given that such multi-v…
Disparity EstimationMAFNet:Multi-frequency Adaptive Fusion Network for Real-time Stereo Matching
Existing stereo matching networks typically rely on either cost-volume construction based on 3D convolutions or deformation methods based on iterative optimization. The former incurs significant computational overhead du…
Disparity EstimationDensePercept-NCSSD: Vision Mamba towards Real-time Dense Visual Perception with Non-Causal State Space Duality
In this work, we propose an accurate and real-time optical flow and disparity estimation model by fusing pairwise input images in the proposed non-causal selective state space for dense perception tasks. We propose a non…
Disparity EstimationCogStereo: Neural Stereo Matching with Implicit Spatial Cognition Embedding
Deep stereo matching has advanced significantly on benchmark datasets through fine-tuning but falls short of the zero-shot generalization seen in foundation models in other vision tasks. We introduce CogStereo, a novel f…
Zero-shot GeneralizationDomain GeneralizationDisparity EstimationScene UnderstandingRoSe: Robust Self-supervised Stereo Matching under Adverse Weather Conditions
Recent self-supervised stereo matching methods have made significant progress, but their performance significantly degrades under adverse weather conditions such as night, rain, and fog. We identify two primary weaknesse…
Disparity EstimationRobuSTereo: Robust Zero-Shot Stereo Matching under Adverse Weather
Learning-based stereo matching models struggle in adverse weather conditions due to the scarcity of corresponding training data and the challenges in extracting discriminative features from degraded images. These limitat…
DenoisingDepth EstimationDisparity EstimationStereo Matching+1ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo Matching
Stereo matching has become an increasingly important component of modern autonomous systems. Developing deep learning-based stereo matching models that deliver high accuracy while operating in real-time continues to be a…
Disparity EstimationStereo MatchingDiFuse-Net: RGB and Dual-Pixel Depth Estimation using Window Bi-directional Parallax Attention and Cross-modal Transfer Learning
Depth estimation is crucial for intelligent systems, enabling applications from autonomous navigation to augmented reality. While traditional stereo and active depth sensors have limitations in cost, power, and robustnes…
Autonomous NavigationDepth EstimationDepth PredictionDisparity Estimation+2Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images
Occlusion and the scarcity of labeled surgical data are significant challenges in disparity estimation for stereo laparoscopic images. To address these issues, this study proposes a Depth Guided Occlusion-Aware Disparity…
Disparity EstimationOptical Flow EstimationPositionDispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
Deep learning (DL) has surpassed human performance on standard benchmarks, driving its widespread adoption in computer vision tasks. One such task is disparity estimation, estimating the disparity between matching pixels…
Autonomous NavigationBenchmarkingDisparity EstimationEye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis
The rising popularity of immersive visual experiences has increased interest in stereoscopic 3D video generation. Despite significant advances in video synthesis, creating 3D videos remains challenging due to the relativ…
Disparity EstimationTransparent objectsVideo GenerationDEFOM-Stereo: Depth Foundation Model Based Stereo Matching
Stereo matching is a key technique for metric depth estimation in computer vision and robotics. Real-world challenges like occlusion and non-texture hinder accurate disparity estimation from binocular matching cues. Rece…
Depth EstimationDisparity EstimationmodelStereo Matching+1