Video Compressive Sensing

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Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (20 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.

• Memory-Efficient Network for Large-scale Video Compressive Sensing
  4 Mar 2021 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  With the knowledge of masks, optimization algorithms or deep learning methods are employed to reconstruct the desired high-speed video frames from this snapshot measurement.
• MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing
  2 Mar 2021 2 repositories listed
  To capture high-speed videos using a two-dimensional detector, video snapshot compressive imaging (SCI) is a promising system, where the video frames are coded by different masks and then compressed to a snapshot…
• CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing
  15 Dec 2016 2 repositories listed
  This paper addresses the real-time encoding-decoding problem for high-frame-rate video compressive sensing (CS).
• Towards Real-time Video Compressive Sensing on Mobile Devices
  14 Aug 2024 1 repository listed
  The fast evolving mobile devices and existing high-performance video SCI reconstruction algorithms motivate us to develop mobile reconstruction methods for real-world applications.
• Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensing
  15 Jan 2022 1 repository listed
  We consider the reconstruction problem of video compressive sensing (VCS) under the deep unfolding/rolling structure.
• A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging
  17 Aug 2021 1 repository listed
  The emerging technology of snapshot compressive imaging (SCI) enables capturing high dimensional (HD) data in an efficient way.
• DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
  12 Jul 2016 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  In this paper, we propose a novel encoder-decoder neural network model referred to as DeepBinaryMask for video compressive sensing.
• Deep Fully-Connected Networks for Video Compressive Sensing
  16 Mar 2016 1 repository listed
  In this work we present a deep learning framework for video compressive sensing.

Syntology lines on 2 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.