Browse State-of-the-Art › Motion Estimation
Motion Estimation
258 papers with code · 0 benchmarks · 10 datasets archive 2025-07-28
Motion Estimation is used to determine the block-wise or pixel-wise motion vectors between two frames.
Description from the archive archive 2025-07-28.
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
10 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 258 papers with code (741 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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4 Jun 2018 15 repositories listed Syntology ran 17 of 24 samples · 7 unverified · 6 pointer-only (licence)Per-pixel ground-truth depth data is challenging to acquire at scale.
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15 Nov 2018 11 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)Models and examples built with TensorFlow
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24 Jul 2018 9 repositories listedWe evaluate the model using a calibration dataset with several different lenses and compare the models using the metrics that are relevant for Visual Odometry, i.
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6 May 2017 8 repositories listed Syntology ran 3 of 5 samples · 2 unverified · 3 pointer-only (licence)Human motion modelling is a classical problem at the intersection of graphics and computer vision, with applications spanning human-computer interaction, motion synthesis, and motion prediction for virtual and augmented…
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13 Apr 2019 7 repositories listed Syntology ran 3 of 11 samples · 8 unverifiedWe reconstruct a set of non-linear factors that make an optimal approximation of the information on the trajectory accumulated by VIO.
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1 Mar 2021 5 repositories listedIn this work, we introduce a new large-scale dataset for scene flow estimation derived from corresponding tracked 3D objects, which is ∼1, 000× larger than previous real-world datasets in terms of the number of…
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1 Jul 2019 5 repositories listed Syntology ran 2 of 2 samples · 0 unverifiedIn this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture.
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25 Sep 2017 5 repositories listedThis paper presents a novel end-to-end framework for monocular VO by using deep Recurrent Convolutional Neural Networks (RCNNs).
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22 Oct 2020 4 repositories listedThis paper proposes a vision-based method for video sky replacement and harmonization, which can automatically generate realistic and dramatic sky backgrounds in videos with controllable styles.
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1 Oct 2019 4 repositories listedInspired by the success of sparse motion-based prediction for video compression, we propose a parametric video prediction on a sparse motion field composed of few critical pixels and their motion vectors.
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21 May 2018 4 repositories listed Syntology ran 0 of 3 samples · 3 unverifiedNon-contact video-based physiological measurement has many applications in health care and human-computer interaction.
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24 Nov 2017 4 repositories listedMany video enhancement algorithms rely on optical flow to register frames in a video sequence.
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14 Jun 2023 3 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedWe present a novel model for Tracking Any Point (TAP) that effectively tracks any queried point on any physical surface throughout a video sequence.
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10 Oct 2022 3 repositories listedWe (Team: USTC-IAT-United) also compare our method with other competitors' in MEGC2022, and the expert evaluation results show that our method performs best, which verifies the effectiveness of our method.
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23 Aug 2021 3 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)3D multi-object tracking in LiDAR point clouds is a key ingredient for self-driving vehicles.
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29 Jun 2019 3 repositories listedIn this work, we present two minimal solvers for the stereo relative pose.
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3 Jul 2018 3 repositories listedHowever, applying DNNs for generating dance to a piece of music is nevertheless challenging, because of 1) DNNs need to generate large sequences while mapping the music input, 2) the DNN needs to constraint the motion…
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6 Mar 2018 3 repositories listed Syntology ran 0 of 8 samples · 8 unverifiedWe propose GeoNet, a jointly unsupervised learning framework for monocular depth, optical flow and ego-motion estimation from videos.
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27 Nov 2017 3 repositories listedOur model, which we call HP-GAN, learns a probability density function of future human poses conditioned on previous poses.
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11 Oct 2022 2 repositories listedWe present a robust theoretical framework for the characterisation and manipulation of optical flow, i.
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18 Aug 2022 2 repositories listedThis paper considers a scenario of pursuing a moving target that may switch behaviors due to external factors in a dynamic environment by motion estimation using visual sensors.
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27 Jun 2022 2 repositories listedThis paper presents improvements and novel additions to our recent work on end-to-end optimized hierarchical bi-directional video compression to further advance the state-of-the-art in learned video compression.
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24 Apr 2022 2 repositories listedInnovation of our method is using information fusion to compensate the problem of insufficient frame rate of output image, and improve the robustness of target detection and depth estimation under monocular vision.
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17 Dec 2021 2 repositories listedConventional video compression (VC) methods are based on motion compensated transform coding, and the steps of motion estimation, mode and quantization parameter selection, and entropy coding are optimized individually…
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30 Sep 2021 2 repositories listedWe perform an extensive evaluation of state-of-the-art (SOTA) Deep Neural Networks (DNNs) across multiple compute regimes, finding our method transfers from our camera motion free da Vinci surgery dataset to videos of…
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Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images30 Sep 2021 2 repositories listedIn the first stage, we process the raw dense image to extract sparse landmarks to represent the target organ anatomical topology and discard the redundant information that is unnecessary for motion estimation.
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23 Aug 2021 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)To alleviate this problem, we propose two novel approaches to deblur videos by effectively aggregating information from multiple video frames.
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10 Mar 2021 2 repositories listedThe state-of-the-art method of contrast maximisation recovers the motion from a batch of events by maximising the contrast of the image of warped events.
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1 Mar 2021 2 repositories listedBased on the proposed module, the photometric consistency loss can provide complementary self-supervision to networks.
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6 Jan 2021 2 repositories listedIn the field of visual ego-motion estimation for Micro Air Vehicles (MAVs), fast maneuvers stay challenging mainly because of the big visual disparity and motion blur.
Syntology lines on 10 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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