Browse State-of-the-Art › distortion correction
distortion correction
18 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
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Datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
18 shown of 18 papers with code (45 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.
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3 Apr 2024 2 repositories listedOur experiments demonstrate the effectiveness of each model in handling distortion and improving image resolution.
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24 Mar 2025 1 repository listedTo address the phenomenon, we propose \textbf{PanoDecouple}, a decoupled diffusion model framework, which decouples the panorama generation into distortion guidance and content completion, aiming to generate panoramas…
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20 Sep 2024 1 repository listedWe provide a detailed foundation complemented with experiments to demonstrate that LCM with fewer parameters approximates the MPD.
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16 Sep 2024 1 repository listed Syntology ran 3 of 8 samples · 5 unverifiedTherefore, two-stage structure was adopted to first create a global coarse image in ERP and then refine the image by integrating multiple local NFoV images in the higher resolution to compensate the distortions in ERP,…
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21 Aug 2024 1 repository listedSubsequently, to effectively train the DRSC network, we propose a self-supervised learning strategy that ensures cycle consistency between input and reconstructed dual reversed RS images.
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17 May 2024 1 repository listedHowever, this is non-trivial because correspondence between volumes can be severely disrupted due to volume-specific signal attenuations induced by varying directions and strengths of the applied gradients.
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15 Mar 2024 1 repository listedOver the past decade, reversed Gradient Polarity (RGP) methods have become a popular approach for correcting susceptibility artifacts in Echo-Planar Imaging (EPI).
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29 Feb 2024 1 repository listedTraditional methods leverage a field map or voxel displacement map for distortion correction.
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21 Aug 2023 1 repository listedWe present extensive component-level and system-level evaluation: both use a novel diversified evaluation dataset and comprehensive evaluation metrics.
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8 Feb 2023 1 repository listedSubsequently, we observe that the inter-frame optical flow of the video is facilitated to perceive the local spatial deformation of the fisheye video.
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6 Feb 2023 1 repository listedIn this paper we propose a novel method for grid-based single-image document unwarping.
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1 Jan 2023 1 repository listedThe simulator permits the use of inexpensive cameras with long exposure to capture high-quality GS images.
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1 Mar 2022 1 repository listedWe show that not all parameters have an equal impact on detection accuracy and data throughput, and that by using a suitable compromise between parameters we are able to achieve higher detection accuracy for lightweight…
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1 Feb 2022 1 repository listedTherefore, in this paper, we propose a hybrid camera calibration framework which combines learning-based approaches with traditional methods to handle these bottlenecks.
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8 Oct 2020 1 repository listedIn this paper we present a novel algorithm for onboard radial distortion correction for unmanned aerial vehicles (UAVs) equipped with an inertial measurement unit (IMU), that runs in real-time.
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8 Sep 2019 1 repository listedWe propose the first general framework to automatically correct different types of geometric distortion in a single input image.
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21 Apr 2017 1 repository listedParticularly, we further discover a new type of chromatic distortion in high-density color QR codes, cross-module color interference, caused by the high density which also makes the geometric distortion correction more…
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17 Sep 2003 1 repository listedThe paper presents an approach for a robust (semi-)automatic correction of radial lens distortion in images and videos.
Syntology lines on 1 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.
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