Alternatives and similar repositories for GlowIP:

Users that are interested in GlowIP 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
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆51Updated 2 years ago
• samuro95 / GSPnP
  Source code for the paper "Gradient Step Denoiser for convergent Plug-and-Play"
  ☆34Updated last year
• LabForComputationalVision / bias_free_denoising
  Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks
  ☆56Updated 3 years ago
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 3 years ago
• IamHuijben / Deep-Probabilistic-Subsampling
  ☆24Updated 3 years ago
• NVlabs / RED-diff
  ☆85Updated last year
• vislearn / conditional_INNs
  Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)
  ☆98Updated 4 years ago
• chenlin9 / Gaussianization_Flows
  ☆22Updated 5 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆59Updated 3 years ago
• sherbret / normalization_equivariant_nn
  Official implementation of the paper "Normalization-Equivariant Neural Networks with Application to Image Denoising"
  ☆13Updated 4 months ago
• mengxiangming / dmps
  dmps code
  ☆33Updated last year
• vislearn / HINT
  Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".
  ☆21Updated 4 years ago
• edongdongchen / DDN
  Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
  ☆30Updated 3 years ago
• reinhardh / supplement_deep_decoder
  ☆97Updated 6 years ago
• sun-umn / DMPlug
  This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models" (NeurIPS 2024).
  ☆53Updated 7 months ago
• pputzky / invertible_rim
  Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations
  ☆36Updated 5 years ago
• liutianlin0121 / musc
  Implementation of "Learning Multiscale Convolutional Dictionaries for Image Reconstruction", IEEE Transaction On Computational Imaging, 2…
  ☆29Updated 2 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated 11 months ago
• utcsilab / ambient-diffusion-mri
  [ICLR 2025] Official Implementation: "Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Cor…
  ☆16Updated 2 months ago
• soominkwon / resample
  Official implementation of ReSample (https://arxiv.org/abs/2307.08123)
  ☆64Updated 5 months ago
• MLI-lab / Robustness-CS
  Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
  ☆31Updated 3 years ago
• MLI-lab / overparameterized_convolutional_generators
  ☆15Updated 5 years ago
• bahjat-kawar / gsure-diffusion
  ☆13Updated last year
• utcsilab / csgm-mri-langevin
  ☆93Updated 3 years ago
• tomMoral / adopty
  ☆19Updated 5 years ago
• ZezhouCheng / GP-DIP
  Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)
  ☆60Updated 5 years ago
• uclaopt / Provable_Plug_and_Play
  [ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
  ☆67Updated 5 years ago
• xypeng9903 / k-diffusion-inverse-problems
  [ICML 2024] Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
  ☆51Updated 7 months ago
• jmaces / robust-nets
  Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdona…
  ☆28Updated 3 years ago