Browse State-of-the-Art › Video Temporal Consistency
Video Temporal Consistency
8 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
A method that remove temporal flickering and other artifacts from videos, in particular those introduced by (non-temporal-aware) per-frame processing
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
1 dataset 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
8 shown of 8 papers with code (11 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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22 Oct 2020 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)Extensive quantitative and perceptual experiments show that our approach obtains superior performance than state-of-the-art methods on blind video temporal consistency.
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10 Jun 2024 1 repository listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)We propose a video editing framework, NaRCan, which integrates a hybrid deformation field and diffusion prior to generate high-quality natural canonical images to represent the input video.
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21 Apr 2024 1 repository listed Syntology ran 17 of 19 samples · 2 unverified · 19 pointer-only (licence)Multiple complex degradations are coupled in low-quality video faces in the real world.
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17 Aug 2023 1 repository listed Syntology ran 3 of 6 samples · 3 unverifiedIn addition to the utilization of a pretrained T2I 2D Unet for spatial content manipulation, we establish a dedicated temporal Unet architecture to faithfully capture the temporal coherence of the input video sequences.
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14 Mar 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverifiedPrior work usually requires specific guidance such as the flickering frequency, manual annotations, or extra consistent videos to remove the flicker.
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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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27 Jan 2022 1 repository listedA progressive propagation strategy with pseudo labels is also proposed to enhance DVP's performance on video propagation.
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1 Aug 2018 1 repository listedOur method takes the original unprocessed and per-frame processed videos as inputs to produce a temporally consistent video.
Syntology lines on 5 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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