De-aliasing

Description from the archive archive 2025-07-28.

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Most implemented papers archive 2025-07-28

9 shown of 9 papers with code (22 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.

• HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery
  15 Feb 2020 2 repositories listed
  Multi-frame Super-Resolution (MFSR) offers a more grounded approach to the ill-posed problem, by conditioning on multiple low-resolution views.
• Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows
  27 May 2024 1 repository listed Syntology ran 14 of 15 samples · 1 unverified · 1 pointer-only (licence)
  A new spatiotemporal adaptation is proposed to generalize any Fourier Neural Operator (FNO) variant to learn maps between Bochner spaces, which can perform an arbitrary-length temporal super-resolution for the first…
• When Semantic Segmentation Meets Frequency Aliasing
  14 Mar 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  While positively correlated with the proposed aliasing score, three types of hard pixels exhibit different patterns.
• Adaptive Diffusion Priors for Accelerated MRI Reconstruction
  12 Jul 2022 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  A two-phase reconstruction is executed following training: a rapid-diffusion phase that produces an initial reconstruction with the trained prior, and an adaptation phase that further refines the result by updating the…
• A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers
  10 Feb 2022 1 repository listed
  This paper proposes an iterative deep learning plug-and-play reconstruction approach to MRF which is adaptive to the forward acquisition process.
• Complementary Time-Frequency Domain Networks for Dynamic Parallel MR Image Reconstruction
  22 Dec 2020 1 repository listed
  The iterative model is embedded into a deep recurrent neural network which learns to recover the image via exploiting spatio-temporal redundancies in complementary domains.
• Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations
  27 Jun 2020 1 repository listed
  Consistency of the predictions with respect to the physical forward model is pivotal for reliably solving inverse problems.
• HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion
  1 Jan 2020 1 repository listed
  Multi-frame Super-Resolution (MFSR) offers a more grounded approach to the ill-posed problem, by conditioning on multiple low-resolution views.
• Can learning from natural image denoising be used for seismic data interpolation?
  27 Feb 2019 1 repository listed
  We propose a convolutional neural network (CNN) denoising based method for seismic data interpolation.

Syntology lines on 3 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.