Stereo Matching Hand

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 36 papers with code (163 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Pyramid Stereo Matching Network
  23 Mar 2018 6 repositories listed Syntology ran 3 of 11 samples · 8 unverified
  The spatial pyramid pooling module takes advantage of the capacity of global context information by aggregating context in different scales and locations to form a cost volume.
• Efficient Deep Learning for Stereo Matching
  1 Jun 2016 4 repositories listed
  In the past year, convolutional neural networks have been shown to perform extremely well for stereo estimation.
• Noise-Aware Unsupervised Deep Lidar-Stereo Fusion
  8 Apr 2019 3 repositories listed
  In this paper, we present LidarStereoNet, the first unsupervised Lidar-stereo fusion network, which can be trained in an end-to-end manner without the need of ground truth depth maps.
• Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
  9 Sep 2019 2 repositories listed
  However, disparity is just a byproduct of a matching process modeled by cost volume, while indirectly learning cost volume driven by disparity regression is prone to overfitting since the cost volume is under…
• OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching
  17 Aug 2019 2 repositories listed
  The 3D encoder-decoder block takes the aligned feature volume to produce the omnidirectional depth estimate with regularization on uncertain regions utilizing the global context information.
• Group-wise Correlation Stereo Network
  10 Mar 2019 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Previous works built cost volumes with cross-correlation or concatenation of left and right features across all disparity levels, and then a 2D or 3D convolutional neural network is utilized to regress the disparity…
• Hierarchical Discrete Distribution Decomposition for Match Density Estimation
  15 Dec 2018 2 repositories listed Syntology ran 2 of 14 samples · 12 unverified
  Explicit representations of the global match distributions of pixel-wise correspondences between pairs of images are desirable for uncertainty estimation and downstream applications.
• StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction
  24 Jul 2018 2 repositories listed Syntology ran 3 of 7 samples · 4 unverified · 3 pointer-only (licence)
  A first estimate of the disparity is computed in a very low resolution cost volume, then hierarchically the model re-introduces high-frequency details through a learned upsampling function that uses compact…
• Learning for Disparity Estimation through Feature Constancy
  4 Dec 2017 2 repositories listed
  The second part performs matching cost calculation, matching cost aggregation and disparity calculation to estimate the initial disparity using shared features.
• Continuous 3D Label Stereo Matching using Local Expansion Moves
  28 Mar 2016 2 repositories listed
  The local expansion moves extend traditional expansion moves by two ways: localization and spatial propagation.
• Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
  20 Oct 2015 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  We approach the problem by learning a similarity measure on small image patches using a convolutional neural network.
• Real-Time Variational Fisheye Stereo without Rectification and Undistortion
  17 Sep 2019 1 repository listed
  We also propose a fast way of generating the trajectory field without increasing the processing time compared to conventional rectified methods.
• DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch
  12 Sep 2019 1 repository listed
  Our goal is to significantly speed up the runtime of current state-of-the-art stereo algorithms to enable real-time inference.
• Extending Monocular Visual Odometry to Stereo Camera Systems by Scale Optimization
  29 May 2019 1 repository listed
  This paper proposes a novel approach for extending monocular visual odometry to a stereo camera system.
• Guided Stereo Matching
  24 May 2019 1 repository listed
  Our formulation is general and fully differentiable, thus enabling to exploit the additional sparse inputs in pre-trained deep stereo networks as well as for training a new instance from scratch.
• Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence
  22 May 2019 1 repository listed
  In this paper, we propose a single and principled network to jointly learn spatiotemporal correspondence for stereo matching and flow estimation, with a newly designed geometric connection as the unsupervised signal for…
• PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation
  12 Apr 2019 1 repository listed Syntology ran 0 of 12 samples · 12 unverified
  In the last few years, convolutional neural networks (CNNs) have demonstrated increasing success at learning many computer vision tasks including dense estimation problems such as optical flow and stereo matching.
• Learning monocular depth estimation infusing traditional stereo knowledge
  8 Apr 2019 1 repository listed
  Depth estimation from a single image represents a fascinating, yet challenging problem with countless applications.
• 3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization
  5 Apr 2019 1 repository listed
  The complementary characteristics of active and passive depth sensing techniques motivate the fusion of the Li-DAR sensor and stereo camera for improved depth perception.
• OpenCL-based FPGA accelerator for disparity map generation with stereoscopic event cameras
  8 Mar 2019 1 repository listed
  Although event-based cameras are already commercially available.
• Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize
  4 Mar 2019 1 repository listed
  Unsupervised cross-spectral stereo matching aims at recovering disparity given cross-spectral image pairs without any supervision in the form of ground truth disparity or depth.
• DeepV2D: Video to Depth with Differentiable Structure from Motion
  11 Dec 2018 1 repository listed
  We propose DeepV2D, an end-to-end deep learning architecture for predicting depth from video.
• Learning Depth with Convolutional Spatial Propagation Network
  4 Oct 2018 1 repository listed
  In this paper, we propose a simple yet effective convolutional spatial propagation network (CSPN) to learn the affinity matrix for various depth estimation tasks.
• DSR: Direct Self-rectification for Uncalibrated Dual-lens Cameras
  26 Sep 2018 1 repository listed
  Our method is evaluated on both real-istic and synthetic stereo image pairs, and produces supe-rior results compared to the calibrated rectification or otherself-rectification approaches
• Learning Monocular Depth by Distilling Cross-domain Stereo Networks
  20 Aug 2018 1 repository listed
  Monocular depth estimation aims at estimating a pixelwise depth map for a single image, which has wide applications in scene understanding and autonomous driving.
• Road surface 3d reconstruction based on dense subpixel disparity map estimation
  5 Jul 2018 1 repository listed
  To achieve the millimetre accuracy required for road condition assessment, a disparity map with subpixel resolution needs to be used.
• CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation
  5 Apr 2018 1 repository listed
  The success of these methods is due to the availability of training data with ground truth; training learning-based systems on these datasets has allowed them to surpass the accuracy of conventional approaches based on…
• Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains
  18 Mar 2018 1 repository listed
  By feeding real stereo pairs of different domains to stereo models pre-trained with synthetic data, we see that: i) a pre-trained model does not generalize well to the new domain, producing artifacts at boundaries and…
• Single View Stereo Matching
  7 Mar 2018 1 repository listed
  The resulting model outperforms all the previous monocular depth estimation methods as well as the stereo block matching method in the challenging KITTI dataset by only using a small number of real training data.
• Real-Time Dense Stereo Matching With ELAS on FPGA Accelerated Embedded Devices
  20 Feb 2018 1 repository listed
  For many applications in low-power real-time robotics, stereo cameras are the sensors of choice for depth perception as they are typically cheaper and more versatile than their active counterparts.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.