Alternatives and similar repositories for GSPnP:

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

• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 3 years ago
• matthieutrs / EquivariantPnP
  Equivariant plug-and-play algorithms
  ☆17Updated 11 months ago
• LabForComputationalVision / universal_inverse_problem
  Examples and code for "Solving linear inverse problems using the prior implicit in a denoiser", Z Kadkhodaie and EP Simoncelli
  ☆54Updated 4 years ago
• LabForComputationalVision / bias_free_denoising
  Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks
  ☆55Updated 3 years ago
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆49Updated 2 years ago
• Vandermode / TFPnP
  Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020 Award Paper & JMLR 2022)
  ☆89Updated 2 months ago
• kanglin755 / plug_and_play_admm
  A simple Pytorch implementation of plug and play ADMM with examples
  ☆35Updated 2 years ago
• claroche-r / FastDiffusionEM
  ☆19Updated 9 months ago
• samuro95 / Prox-PnP
  ☆16Updated last year
• VLOGroup / tdv
  Total Deep Variation Regularizer
  ☆50Updated 3 years ago
• sherbret / normalization_equivariant_nn
  Official implementation of the paper "Normalization-Equivariant Neural Networks with Application to Image Denoising"
  ☆10Updated 2 months ago
• sun-umn / Early_Stopping_for_DIP
  Official Implementation of Early Stopping for Deep Image Prior (TMLR)
  ☆26Updated 9 months ago
• axgoujon / convex_ridge_regularizers
  ☆18Updated last year
• uclaopt / Provable_Plug_and_Play
  [ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
  ☆67Updated 5 years ago
• Dong-Huo / VDIP-Deconvolution
  ☆13Updated last year
• GaryMataev / DeepRED
  DeepRED: Deep Image Prior Powered by RED
  ☆64Updated 5 years ago
• Wang-weixi / Adaptive_Sampling
  cvpr 2022
  ☆15Updated last year
• edongdongchen / DDN
  Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
  ☆30Updated 3 years ago
• sanghviyashiitb / poisson-deblurring
  Pytorch Code for "Photon Limited Non-Blind Deblurring using Algorithm Unrolling" (Transactions on Computational Imaging)
  ☆18Updated 2 years ago
• axium / Blind-Image-Deconvolution-using-Deep-Generative-Priors
  Paper implemention of paper "Blind Image Deconvolution using Deep Generative Priors"
  ☆31Updated 6 years ago
• svvenkatakrishnan / plug-and-play-priors
  An algorithmic framework to experiment with different image priors via denoising algorithms for inverse problems.
  ☆27Updated 7 years ago
• sedaboni / ADMM-DIPTV
  Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM (2021)
  ☆35Updated 2 years ago
• edongdongchen / EI
  Equivariant Imaging (EI), ICCV'2021 Oral
  ☆66Updated 2 years ago
• BlindDPS / blind-dps
  An official pytorch implementation of "Parallel Diffusion Model of Operator and Image for Blind Inverse Problems" (CVPR 2023)
  ☆111Updated last year
• PangTongyao / Self-supervised-BNN-for-image-recovery
  ☆20Updated 3 years ago
• itayhubara / TNRD-pytorch
  Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration - unofficial pytorch implementation…
  ☆19Updated 3 years ago
• CACTuS-AI / GlowIP
  Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"
  ☆21Updated 4 years ago
• donggong1 / learn-optimizer-rgdn
  Learning Deep Gradient Descent Optimization for Image Deconvolution. Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Sh…
  ☆33Updated 4 years ago
• JavierGurrola / RDUNet
  A Residual Dense U-net Neural Networkfor Image Denoising
  ☆50Updated 3 years ago