Browse State-of-the-Art › Video Deblurring
Video Deblurring
42 papers with code · 0 benchmarks · 2 datasets 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
2 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.
Most implemented papers archive 2025-07-28
30 shown of 42 papers with code (84 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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10 Aug 2019 6 repositories listedWe present a new end-to-end generative adversarial network (GAN) for single image motion deblurring, named DeblurGAN-v2, which considerably boosts state-of-the-art deblurring efficiency, quality, and flexibility.
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8 Dec 2021 3 repositories listedOur TLC converts global operations to local ones only during inference so that they aggregate features within local spatial regions rather than the entire large images.
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27 Jul 2022 2 repositories listed Syntology ran 15 of 18 samples · 3 unverified · 1 pointer-only (licence)Video deblurring is a highly under-constrained problem due to the spatially and temporally varying blur.
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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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23 Mar 2025 1 repository listedWe extend the Kaczmarz method, a popular iterative algorithm for solving large linear systems, to develop a Quantile Tensor Randomized Kaczmarz (QTRK) method robust to large, sparse corruptions in the observations ℬ.
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21 Jan 2025 1 repository listedVideo deblurring is essential task for autonomous driving, facial recognition, and security surveillance.
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2 Dec 2024 1 repository listedState-of-the-art video deblurring methods use deep network architectures to recover sharpened video frames.
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4 Oct 2024 1 repository listed Syntology ran 7 of 12 samples · 5 unverifiedIn this work, we propose TURTLE to learn the truncated causal history model for efficient and high-performing video restoration.
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2 Sep 2024 1 repository listed Syntology ran 10 of 12 samples · 2 unverifiedIn this work, we introduce the 'Depth-Aware VIdeo DEblurring' (DAVIDE) dataset to study the impact of depth information in video deblurring.
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27 Aug 2024 1 repository listedTo address this limitation, we aim to solve the video deblurring task by leveraging an event camera with micro-second temporal resolution.
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24 Aug 2024 1 repository listed Syntology ran 3 of 6 samples · 3 unverifiedSince Diffusion Models (DMs) have strong capabilities in generating high-frequency details, we consider introducing DMs into the video deblurring task.
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12 Jul 2024 1 repository listed Syntology ran 22 of 24 samples · 2 unverified · 24 pointer-only (licence)Next, we utilize a blurring model to produce blurred images based on the pseudo-sharp images extracted during testing.
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11 Jun 2024 1 repository listed Syntology ran 10 of 17 samples · 7 unverified · 17 pointer-only (licence)Specifically, BSSTNet (1) uses a longer temporal window in the transformer, leveraging information from more distant frames to restore the blurry pixels in the current frame.
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22 Dec 2023 1 repository listedBesides, ViStripformer is an effective and efficient transformer architecture with much lower memory usage than the vanilla transformer.
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13 Sep 2023 1 repository listedTo aggregate nearest sharp features from detected sharp frames, we utilize a global Transformer with multi-scale matching capability.
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4 Apr 2023 1 repository listedWe consider the challenging task of training models for image-to-video deblurring, which aims to recover a sequence of sharp images corresponding to a given blurry image input.
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1 Jan 2023 1 repository listedIn contrast to existing methods that directly align adjacent frames without discrimination, we develop a deep discriminative spatial and temporal network to facilitate the spatial and temporal feature exploration for…
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28 Aug 2022 1 repository listedWe believe the novel realistic synthesis pipeline and the corresponding RAW video dataset can help the community to easily construct customized blur datasets to improve real-world video deblurring performance largely,…
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22 Jul 2022 1 repository listed Syntology ran 7 of 12 samples · 5 unverifiedThe key success factor of the video deblurring methods is to compensate for the blurry pixels of the mid-frame with the sharp pixels of the adjacent video frames.
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21 Jul 2022 1 repository listedThese issues can be alleviated by a cascade of three separate sub-tasks, including video deblurring, frame interpolation, and super-resolution, which, however, would fail to capture the spatial and temporal correlations…
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14 Jul 2022 1 repository listedWe introduce a novel framework for continuous facial motion deblurring that restores the continuous sharp moment latent in a single motion-blurred face image via a moment control factor.
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22 Jun 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)In this study, we propose a simple yet effective framework for video restoration.
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25 May 2022 1 repository listedWhile motion compensation greatly improves video deblurring quality, separately performing motion compensation and video deblurring demands huge computational overhead.
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20 May 2022 1 repository listedOn the other hand, we equip the sequence-to-sequence model with an unsupervised optical flow estimator to maximize its potential.
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17 Apr 2022 1 repository listedFor multi-frame temporal modeling, we adapt Transformer to fuse multiple spatial features efficiently.
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11 Apr 2022 1 repository listedThe exploitation of long-term information has been a long-standing problem in video restoration.
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6 Apr 2022 1 repository listed Syntology ran 5 of 13 samples · 8 unverifiedVideo deblurring has achieved remarkable progress thanks to the success of deep neural networks.
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28 Jan 2022 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)Besides, parallel warping is used to further fuse information from neighboring frames by parallel feature warping.
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6 Jan 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedExploiting similar and sharper scene patches in spatio-temporal neighborhoods is critical for video deblurring.
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9 Dec 2021 1 repository listed Syntology ran 12 of 14 samples · 2 unverified · 14 pointer-only (licence)Instead of estimating alignment information, we propose a simple and effective deep Recurrent Neural Network with Multi-scale Bi-directional Propagation (RNN-MBP) to effectively propagate and gather the information from…
Syntology lines on 13 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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