Stereo Depth Estimation

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 55 papers with code (97 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.

• Efficient Attention: Attention with Linear Complexities
  4 Dec 2018 14 repositories listed Syntology ran 7 of 8 samples · 1 unverified · 1 pointer-only (licence)
  Dot-product attention has wide applications in computer vision and natural language processing.
• HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching
  23 Jul 2020 9 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  Contrary to many recent neural network approaches that operate on a full cost volume and rely on 3D convolutions, our approach does not explicitly build a volume and instead relies on a fast multi-resolution…
• 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.
• MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching
  22 Aug 2021 4 repositories listed Syntology ran 1 of 8 samples · 7 unverified
  Depending on the dimension of cost volume, we design a 2D and a 3D model with encoder-decoders built from 2D and 3D convolutions, respectively.
• On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach
  26 Mar 2018 4 repositories listed
  Despite the progress on monocular depth estimation in recent years, we show that the gap between monocular and stereo depth accuracy remains large$-$a particularly relevant result due to the prevalent reliance upon…
• GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
  13 Apr 2019 3 repositories listed Syntology ran 6 of 7 samples · 1 unverified
  In the stereo matching task, matching cost aggregation is crucial in both traditional methods and deep neural network models in order to accurately estimate disparities.
• Anytime Stereo Image Depth Estimation on Mobile Devices
  26 Oct 2018 3 repositories listed Syntology ran 3 of 26 samples · 23 unverified
  Many applications of stereo depth estimation in robotics require the generation of accurate disparity maps in real time under significant computational constraints.
• FoundationStereo: Zero-Shot Stereo Matching
  17 Jan 2025 2 repositories listed Syntology ran 36 of 46 samples · 10 unverified · 46 pointer-only (licence)
  However, achieving strong zero-shot generalization - a hallmark of foundation models in other computer vision tasks - remains challenging for stereo matching.
• Event-based Stereo Depth Estimation: A Survey
  26 Sep 2024 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  It is the first to extensively review DL methods as well as stereo datasets, even providing practical suggestions for creating new benchmarks to advance the field.
• Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting
  29 Jan 2024 2 repositories listed
  In the realm of robot-assisted minimally invasive surgery, dynamic scene reconstruction can significantly enhance downstream tasks and improve surgical outcomes.
• Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
  3 Mar 2023 2 repositories listed Syntology ran 4 of 6 samples · 2 unverified · 4 pointer-only (licence)
  While recent methods for motion and stereo estimation recover an unprecedented amount of details, such highly detailed structures are neither adequately reflected in the data of existing benchmarks nor their evaluation…
• Attention Concatenation Volume for Accurate and Efficient Stereo Matching
  4 Mar 2022 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Stereo matching is a fundamental building block for many vision and robotics applications.
• Towards Continual, Online, Self-Supervised Depth
  28 Feb 2021 2 repositories listed
  We apply our method to both structure-from-motion and stereo depth estimation.
• Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve
  5 Dec 2019 2 repositories listed Syntology ran 0 of 14 samples · 14 unverified
  In contrast, generic camera models allow for very accurate calibration due to their flexibility.
• Nighttime Stereo Depth Estimation using Joint Translation-Stereo Learning: Light Effects and Uninformative Regions
  30 Sep 2019 2 repositories listed
  To address the problem, we introduce a network joining day/night translation and stereo.
• 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…
• Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model
  30 Mar 2025 1 repository listed
  Omnidirectional depth perception is essential for mobile robotics applications that require scene understanding across a full 360{\deg} field of view.
• Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and Challenges
  28 Mar 2025 1 repository listed
  Achieving robust and accurate spatial perception under adverse weather and lighting conditions is crucial for the high-level autonomy of self-driving vehicles and robots.
• Helvipad: A Real-World Dataset for Omnidirectional Stereo Depth Estimation
  27 Nov 2024 1 repository listed
  To address this, we introduce necessary adaptations to stereo models, leading to improved performance.
• Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses
  15 Nov 2024 1 repository listed
  Although AR applications require very low latency for their real-time applications, traditional depth estimation models often rely on time-consuming preprocessing steps such as rectification to achieve high accuracy.
• Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models
  18 May 2024 1 repository listed
  Self-supervised depth estimation algorithms rely heavily on frame-warping relationships, exhibiting substantial performance degradation when applied in challenging circumstances, such as low-visibility and nighttime…
• MoCha-Stereo: Motif Channel Attention Network for Stereo Matching
  10 Apr 2024 1 repository listed Syntology ran 16 of 17 samples · 1 unverified
  In addition, edge variations in %potential feature channels of the reconstruction error map also affect details matching, we propose the Reconstruction Error Motif Penalty (REMP) module to further refine the…
• Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling Autonomy
  23 Jan 2024 1 repository listed
  The surface reflectance properties of icy moon terrains (Enceladus and Europa) are inferred from multispectral datasets of previous missions.
• ARAI-MVSNet: A multi-view stereo depth estimation network with adaptive depth range and depth interval
  17 Aug 2023 1 repository listed
  Moreover, our method also achieves the lowest e₁ and e₃ on the BlendedMVS dataset and the highest Acc and F₁-score on the ETH 3D dataset, surpassing all listed methods.
• Deep Depth Estimation From Thermal Image
  1 Jan 2023 1 repository listed
  Secondly, we conduct an exhaustive validation process of monocular and stereo depth estimation algorithms designed on visible spectrum bands to benchmark their performance in the thermal image domain.
• Energy-Efficient Adaptive 3D Sensing
  1 Jan 2023 1 repository listed
  Active depth sensing achieves robust depth estimation but is usually limited by the sensing range.
• A Practical Stereo Depth System for Smart Glasses
  19 Nov 2022 1 repository listed
  We present the design of a productionized end-to-end stereo depth sensing system that does pre-processing, online stereo rectification, and stereo depth estimation with a fallback to monocular depth estimation when…
• Unifying Flow, Stereo and Depth Estimation
  10 Nov 2022 1 repository listed
  We present a unified formulation and model for three motion and 3D perception tasks: optical flow, rectified stereo matching and unrectified stereo depth estimation from posed images.
• Context-Enhanced Stereo Transformer
  21 Oct 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  We construct our stereo depth estimation model, Context Enhanced Stereo Transformer (CSTR), by plugging CEP into the state-of-the-art stereo depth estimation method Stereo Transformer.
• Event-based Stereo Depth Estimation from Ego-motion using Ray Density Fusion
  17 Oct 2022 1 repository listed
  Event cameras are bio-inspired sensors that mimic the human retina by responding to brightness changes in the scene.

Syntology lines on 14 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.