Alternatives and similar repositories for bias_free_denoising

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

• LabForComputationalVision / universal_inverse_problem
  Examples and code for "Solving linear inverse problems using the prior implicit in a denoiser", Z Kadkhodaie and EP Simoncelli
  ☆55Updated 4 years ago
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 4 years ago
• samuro95 / GSPnP
  Source code for the paper "Gradient Step Denoiser for convergent Plug-and-Play"
  ☆35Updated last year
• VLOGroup / tdv
  Total Deep Variation Regularizer
  ☆51Updated 4 years ago
• kanglin755 / plug_and_play_admm
  A simple Pytorch implementation of plug and play ADMM with examples
  ☆41Updated 2 years ago
• PangTongyao / Self-supervised-BNN-for-image-recovery
  ☆22Updated 4 years ago
• edongdongchen / DDN
  Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
  ☆30Updated 3 years ago
• sun-umn / Early_Stopping_for_DIP
  Official Implementation of Early Stopping for Deep Image Prior (TMLR)
  ☆26Updated last year
• csm9493 / GAN2GAN
  The Official code of GAN2GAN (ICLR 2021)
  ☆33Updated 3 years ago
• faebstn96 / trainable-bilateral-filter-source
  This is our implementation of a trainable bilateral filter layer (PyTorch)
  ☆56Updated 2 years ago
• uclaopt / Provable_Plug_and_Play
  [ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
  ☆67Updated 5 years ago
• COMP6248-Reproducability-Challenge / selfsupervised-denoising
  High-Quality Self-Supervised Deep Image Denoising - Unofficial PyTorch implementation of the NeurIPS 2019 paper
  ☆68Updated 4 years ago
• gbredell / W_DIP
  Wiener Guided DIP for Unsupervised Blind Image Deconvolution
  ☆17Updated 3 years ago
• Vandermode / TFPnP
  Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020 Award Paper & JMLR 2022)
  ☆89Updated 6 months ago
• benMen87 / ApproximateConvolutionalSparseCoding
  An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328
  ☆43Updated 2 years ago
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆51Updated 2 years ago
• reinhardh / supplement_deep_decoder
  ☆97Updated 6 years ago
• wustl-cig / pnp-recovery
  Pytorch code for the NeurIPS 2021 paper "Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition"
  ☆9Updated 2 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
• edongdongchen / EI
  Equivariant Imaging (EI), ICCV'2021 Oral
  ☆69Updated 3 years ago
• ysnan / NBD_KerUnc
  Project page of the paper 'Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution' (CVPR 2020)
  ☆16Updated 4 years ago
• Dong-Huo / VDIP-Deconvolution
  ☆16Updated last year
• IVRL / w2s
  (ECCVW 2020) Joint Denoising and SR in Microscopy Imaging
  ☆50Updated 3 years ago
• siddiquesalman / flatnet
  This is the official pytorch code repo for the ICCV 2019 paper Towards Photorealistic Reconstruction of Highly Multiplexed Lensless Image…
  ☆37Updated last year
• MLI-lab / ConvDecoder
  An un-trained neural network with a potential application in accelerated MRI
  ☆42Updated 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
• claroche-r / FastDiffusionEM
  ☆23Updated last year
• JinYize / self2self_pytorch
  ☆34Updated 3 years ago
• drorsimon / CSCNet
  Code for the paper "Rethinking the CSC Model for Natural Images"
  ☆31Updated last year
• PangTongyao / Recorrupted-to-Recorrupted-Unsupervised-Deep-Learning-for-Image-Denoising
  ☆63Updated 2 years ago