Browse State-of-the-Art › Video Stabilization
Video Stabilization
28 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
28 shown of 28 papers with code (62 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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6 Jul 2021 4 repositories listedHomography estimation is an important task in computer vision applications, such as image stitching, video stabilization, and camera calibration.
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9 Nov 2017 3 repositories listedThe emergence of low-cost high-quality personal wearable cameras combined with the increasing storage capacity of video-sharing websites have evoked a growing interest in first-person videos, since most videos are…
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11 Feb 2021 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)Existing video stabilization methods often generate visible distortion or require aggressive cropping of frame boundaries, resulting in smaller field of views.
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30 Nov 2020 2 repositories listedIn this paper, we attempt to tackle the video stabilization problem in a deep unsupervised learning manner, which borrows the divide-and-conquer idea from traditional stabilizers while leveraging the representation…
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5 Sep 2019 2 repositories listedWe present a novel deep approach to video stabilization which can generate video frames without cropping and low distortion.
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8 May 2025 1 repository listedTo address this issue, we propose StabStitch++, a novel video stitching framework to realize spatial stitching and temporal stabilization with unsupervised learning simultaneously.
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6 Mar 2025 1 repository listedIn addition to conventional HSV-based visualization of Reynolds flow, we also introduce an RGB-encoded representation of Reynolds flow designed to improve flow visualization and feature enhancement for neural networks.
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9 Dec 2024 1 repository listed Syntology ran 0 of 8 samples · 8 unverified · 8 pointer-only (licence)Recent 4D reconstruction methods have yielded impressive results but rely on sharp videos as supervision.
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4 Nov 2024 1 repository listedThis paper presents a framework for extracting georeferenced vehicle trajectories from high-altitude drone footage, addressing key challenges in urban traffic monitoring and limitations of traditional ground-based…
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19 Apr 2024 1 repository listedIn this paper, we present RStab, a novel framework for video stabilization that integrates 3D multi-frame fusion through volume rendering.
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11 Mar 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverifiedIn this paper, we retarget video stitching to an emerging issue, named warping shake, when extending image stitching to video stitching.
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6 Mar 2024 1 repository listed Syntology ran 3 of 10 samples · 7 unverified · 10 pointer-only (licence)Video stabilization is a longstanding computer vision problem, particularly pixel-level synthesis solutions for video stabilization which synthesize full frames add to the complexity of this task.
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9 Aug 2023 1 repository listedIndeed, most existing quality assessment models evaluate video quality as a whole without specifically taking the subjective experience of video stability into consideration.
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24 Jul 2023 1 repository listedVideo stabilization refers to the problem of transforming a shaky video into a visually pleasing one.
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2 Jan 2023 1 repository listedFor stylization tasks, however, consistency control is an essential requirement as a certain amount of flickering adds to the artistic look and feel.
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5 Dec 2022 1 repository listedIn this work, we adopt recent off-the-shelf high-quality deep motion models for motion estimation to recover the camera trajectory and focus on the latter two steps.
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25 Oct 2022 1 repository listedHowever, in this work, we introduce a more general representation scheme, which adapts any existing optical flow network to ignore the moving objects and obtain a spatially smooth approximation of the global motion…
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26 Aug 2022 1 repository listedIn this paper, we propose a synthetic-aware adverse weather robust algorithm for video stabilization that does not require real data and can be trained only on synthetic data.
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23 Aug 2022 1 repository listedThe development of safety-oriented research and applications requires fine-grain vehicle trajectories that not only have high accuracy, but also capture substantial safety-critical events.
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29 Jul 2022 1 repository listedVideo stabilization is an in-camera processing commonly applied by modern acquisition devices.
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20 Aug 2021 1 repository listedHowever, since the view outside the boundary is not available during warping, the resulting holes around the boundary of the stabilized frame must be discarded (i.
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16 Aug 2021 1 repository listedTo this end, we develop a calibration method for a RS-camera-IMU system with continuous-time B-splines by using a calibration target.
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9 May 2021 1 repository listedIn this paper, we propose a straightforward and efficient framework that includes pre-processing, a dynamic track module, and post-processing.
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11 Feb 2021 1 repository listedTo circumvent this problem, we propose training a CNN using synthetic videos generated by adding small blob-like objects to video sequences with real-world backgrounds.
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2 Feb 2021 1 repository listedWe present a deep neural network (DNN) that uses both sensor data (gyroscope) and image content (optical flow) to stabilize videos through unsupervised learning.
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19 Nov 2020 1 repository listedDespite the advances in the field of generative models in computer vision, video stabilization still lacks a pure regressive deep-learning-based formulation.
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4 Sep 2020 1 repository listedOur method is fully automatic and produces visually and quantitatively better results than previous real-time general video stabilization methods.
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31 May 2018 1 repository listedThis application paper proposes a model for estimating the parameters on the fly by fusing gyroscope and camera data, both readily available in modern day smartphones.
Syntology lines on 4 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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