Wave optical models and inverse algorithms for label-agnostic imaging of density & orientation.

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

PyTorch implementation of "Deep Plug-and-Play Prior for Hyperspectral Image Restoration" (Neurocomputing 2022)

Codes for phase recovery in bispectral imaging

Python implementation of A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI paper

Denoise de MRI empleando NLM, bilateral, BM3D, BM4D, autoencoders, variational autoencoders, DnCNN, ResNet, REDNet

Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM (2021)

DeepRED: Deep Image Prior Powered by RED

A model-based deep learning network for inverse problem in imaging

A Special Nash Equilibrium

Data for the scico project

Scientific Computational Imaging COde

Image Deconvolution with Plug-and-Play ADMM using an X-Dense-U-Net denoiser

Released code for paper: Attention Beats Linear for Fast Implicit Neural Representation Generation. Attention-based localized implicit Neural Representation (ANR)

Imaging Privacy Threats from an Ambient Light Sensor (Science Advances 2024)

Contains the code and example data for optically encoded photoacoustic microscopy (openPAM)

Curved Boundary Integral Method

X Correlation Forward Scattering Media

Learning ReLU INRs with B-spline wavelets.

FINER: Flexible spectral-bias tuning in Implicit NEural Representation by Variable-periodic Activation Functions

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

notes about machine learning

Fourier Ptychographic Microscopy Reconstruction using Implicit Neural Representation