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Found 6 papers, 3 papers with code
Boosting of Implicit Neural Representation-based Image Denoiser
Implicit Neural Representation (INR) has emerged as an effective method for unsupervised image denoising.
Coordinate-based Neural Network for Fourier Phase Retrieval
Fourier phase retrieval is essential for high-definition imaging of nanoscale structures across diverse fields, notably coherent diffraction imaging.
Robust retrieval of material chemical states in X-ray microspectroscopy
X-ray microspectroscopic techniques are essential for studying morphological and chemical changes in materials, providing high-resolution structural and spectroscopic information.
Stochastic failure of cell infection post viral entry: Implications for infection outcomes and antiviral therapy
We show that infections wherein virus is release by an infected cell as a single burst, rather than at a constant rate over the cell's infectious lifespan, has the same probability of infection extinction, despite previous claims to this effect [Pearson 2011, doi:10. 1371/journal. pcbi. 1001058].
Learning to Deblur using Light Field Generated and Real Defocus Images
We first train the network on a light field-generated dataset for its highly accurate image correspondence.
Ranked #1 on
Image Defocus Deblurring
on RealDOF
(using extra training data)
Subspace modeling for fast and high-sensitivity X-ray chemical imaging
Resolving morphological chemical phase transformations at the nanoscale is of vital importance to many scientific and industrial applications across various disciplines.
