Browse State-of-the-Art › Predict Future Video Frames
Predict Future Video Frames
4 papers with code · 0 benchmarks · 1 dataset 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
4 shown of 4 papers with code (10 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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1 Apr 2020 1 repository listedWe present an approach to predict future video frames given a sequence of continuous video frames in the past.
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4 Mar 2019 1 repository listedGenerative models that can model and predict sequences of future events can, in principle, learn to capture complex real-world phenomena, such as physical interactions.
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2 Dec 2018 1 repository listed Syntology ran 0 of 2 samples · 2 unverifiedA dynamic scene has two types of elements: those that move fluidly and can be predicted from previous frames, and those which are disoccluded (exposed) and cannot be extrapolated.
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11 Jun 2018 1 repository listedOur goal is to predict future video frames given a sequence of input frames.
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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