mlsanityData to 7 Oct 2026

Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging

arXiv 2003.13654 ↗First posted 30 Mar 2020eess.IV cs.CVcited by 78

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Abstract (arXiv)

Snapshot compressive imaging (SCI) aims to capture the high-dimensional (usually 3D) images using a 2D sensor (detector) in a single snapshot. Though enjoying the advantages of low-bandwidth, low-power and low-cost, applying SCI to large-scale problems (HD or UHD videos) in our daily life is still challenging. The bottleneck lies in the reconstruction algorithms; they are either too slow (iterative optimization algorithms) or not flexible to the encoding process (deep learning based end-to-end networks). In this paper, we develop fast and flexible algorithms for SCI based on the plug-and-play (PnP) framework. In addition to the widely used PnP-ADMM method, we further propose the PnP-GAP (generalized alternating projection) algorithm with a lower computational workload and prove the convergence of PnP-GAP under the SCI hardware constraints. By employing deep denoising priors, we first time show that PnP can recover a UHD color video (3840× 1644× 48 with PNSR above 30dB) from a snapshot 2D measurement. Extensive results on both simulation and real datasets verify the superiority of our proposed algorithm. The code is available at https://github.com/liuyang12/PnP-SCI.

Key facts. Cited by 78 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Mar 2020.

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Citing papers per year: 2021: 19; 2022: 18; 2023: 14; 2024: 13; 2025: 8; 2026: 6.

78 papers.

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  1. 2021Learning to Optimize: A Primer and A Benchmarkcited by 206
  2. 2022Deep Generalized Unfolding Networks for Image Restorationcited by 119
  3. 2021Gradient Step Denoiser for convergent Plug-and-Playcited by 107
  4. 2022Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularizationcited by 79
  5. 2022Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstructioncited by 67
  6. 2022Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imagingcited by 66
  7. 2021Deep Gaussian Scale Mixture Prior for Spectral Compressive Imagingcited by 58
  8. 2021Plug-and-Play Algorithms for Video Snapshot Compressive Imagingcited by 42
  9. 2021Self-supervised Neural Networks for Spectral Snapshot Compressive Imagingcited by 35
  10. 2021Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imagingcited by 31
  11. 2021Memory-Efficient Network for Large-scale Video Compressive Sensingcited by 30
  12. 2021MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensingcited by 29
38 more
  1. 2021HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imagingcited by 26
  2. 2022Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imagingcited by 22
  3. 2022Spatial-Temporal Transformer for Video Snapshot Compressive Imagingcited by 21
  4. 2023Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstructioncited by 20
  5. 2021Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolutioncited by 19
  6. 2023EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imagingcited by 18
  7. 2021CSformer: Bridging Convolution and Transformer for Compressive Sensingcited by 14
  8. 2023Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysiscited by 10
  9. 2024Deep Optics for Video Snapshot Compressive Imagingcited by 8
  10. 2021Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Visioncited by 7
  11. 2024Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancementcited by 7
  12. 2024MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imagingcited by 7
  13. 2023Progressive Content-aware Coded Hyperspectral Compressive Imagingcited by 6
  14. 2023DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Modelcited by 6
  15. 2022Deep Equilibrium Models for Video Snapshot Compressive Imagingcited by 5
  16. 2022JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imagingcited by 5
  17. 2022Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-trainingcited by 5
  18. 2023Convergent plug-and-play with proximal denoiser and unconstrained regularization parametercited by 5
  19. 2021Modeling Mask Uncertainty in Hyperspectral Image Reconstructioncited by 4
  20. 2022Spectral Compressive Imaging Reconstruction Using Convolution and Contextual Transformercited by 4
  21. 2022Acquiring a Dynamic Light Field through a Single-Shot Coded Imagecited by 4
  22. 2022Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensingcited by 3
  23. 2022Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platformscited by 3
  24. 2023Single-Shot Plug-and-Play Methods for Inverse Problemscited by 3
  25. 2024SCINeRF: Neural Radiance Fields from a Snapshot Compressive Imagecited by 3
  26. 202110-mega pixel snapshot compressive imaging with a hybrid coded aperturecited by 2
  27. 2021Revisit Dictionary Learning for Video Compressive Sensing under the Plug-and-Play Frameworkcited by 2
  28. 2022REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restorationcited by 2
  29. 2023RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imagingcited by 2
  30. 2023Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imagingcited by 2
  31. 2024SnapCap: Efficient Snapshot Compressive Video Captioningcited by 2
  32. 2024Event-Enhanced Snapshot Compressive Videography at 10K FPScited by 2
  33. 2024Dual Hyperspectral Mamba for Efficient Spectral Compressive Imagingcited by 2
  34. 2024You KAN Do It in a Single Shot: Plug-and-Play Methods with Single-Instance Priorscited by 2
  35. 2021Reinforcement Learning for Adaptive Video Compressive Sensingcited by 1
  36. 2021A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imagingcited by 1
  37. 2021Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Networkcited by 1
  38. 2022Motion-aware Dynamic Graph Neural Network for Video Compressive Sensingcited by 1

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