Alternatives and similar repositories for REI

Users that are interested in REI are comparing it to the libraries listed below

• edongdongchen / EI
  Equivariant Imaging (EI), ICCV'2021 Oral
  ☆74Updated 3 years ago
• lixing0810 / Pytorch_ADMM-CSNet
  Codes for model in "ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing" (TPAMI 2019)
  ☆32Updated 3 years ago
• jmaces / aapm-ct-challenge
  AAPM DL Sparse-View Computed Tomography Image Reconstruction Challenge - Team Robust-And-Stable
  ☆49Updated 3 years ago
• niuchuangnn / noise2sim
  Noise2Sim is a general unsupervised deep denoising method.
  ☆55Updated 3 years ago
• JinYize / self2self_pytorch
  ☆35Updated 4 years ago
• Theodore-PKU / paper-notes
  ☆51Updated 3 years ago
• alexdenker / SteerableConditionalDiffusion
  An implementation of Steerable Conditional Diffusion Sampler
  ☆14Updated 5 months ago
• guopengf / ReconFormer
  ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer
  ☆75Updated last year
• shangqigao / BayeSR
  The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow
  ☆47Updated 2 years ago
• xiawj-hub / MAGIC
  ☆22Updated 3 years ago
• iwuqing / SCOPE
  [IEEE TCI] Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography
  ☆26Updated last year
• scuchenxiang / SOUL-Net
  The codes for paper "SOUL-Net: A Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction".
  ☆23Updated 3 years ago
• hyungjin-chung / score-MRI
  ☆170Updated 2 years ago
• MLI-lab / ConvDecoder
  An un-trained neural network with a potential application in accelerated MRI
  ☆44Updated 4 years ago
• AIF4S / HUMUS-Net
  HUMUS-Net: a Transformer-convolutional Hybrid Unrolled Multi-Scale Network architecture for accelerated MRI reconstruction
  ☆20Updated last year
• hellopipu / HQS-Net
  Learned Half-Quadratic Splitting Network for Magnetic Resonance Image Reconstruction
  ☆18Updated 2 years ago
• faebstn96 / trainable-bilateral-filter-source
  This is our implementation of a trainable bilateral filter layer (PyTorch)
  ☆55Updated 2 years ago
• wustl-cig / DOLCE
  DOLCE, ICCV2023. Pytorch Implementation.
  ☆51Updated last year
• iwuqing / ArSSR
  [IEEE J-BHI] An Arbitrary Scale Super-Resolution Approach for 3D MR Images using Implicit Neural Representation
  ☆78Updated 2 years ago
• jiayangshi / INR4JointCTRecon
  Code for TMLR paper "Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction"
  ☆12Updated 4 months ago
• maybe198376 / LEARN
  ☆26Updated 7 years ago
• PangTongyao / Recorrupted-to-Recorrupted-Unsupervised-Deep-Learning-for-Image-Denoising
  ☆66Updated 2 years ago
• XinWang-99 / SA-INR
  An arbitrary-scale SR method for reducing MR slice spacing.
  ☆17Updated 2 years ago
• kanavalau / EE367_Project_WNNM_denoising
  Stanford EE367 (Computational Imaging) Final Project: Implementation of the Weighted Nuclear Norm Minimization for image denoising.
  ☆11Updated 3 years ago
• edongdongchen / DDN
  Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
  ☆29Updated 4 years ago
• hyungjin-chung / DiffusionMBIR
  Official PyTorch implementation of the CVPR 2023 paper "Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models (https://arxiv.…
  ☆177Updated 2 months ago
• YC-Markus / code-for-DDDM
  code for DMDD: Diffusion Models on Dual Domains for Sparse-view CT Reconstruction
  ☆17Updated 2 years ago
• TIDESlab / ITS
  [ICASSP 2024] Boosting of Implicit Neural Representation-based Image Denoiser
  ☆14Updated last year
• mozanunal / SparseCT
  Framework for designing, training and benchmarking sparse-view CT reconstruction algorithms; includes datasets, metrics, baselines and CL…
  ☆48Updated last year
• bbbbbbzhou / DuDoRNet
  DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior (CVPR 2020)
  ☆59Updated 5 years ago