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
• vislearn / conditional_INNs
  Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)
  ☆99Updated 4 years ago
• IamHuijben / Deep-Probabilistic-Subsampling
  ☆24Updated 4 years ago
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆52Updated 2 years ago
• Typal-Research / jacobian_free_backprop
  Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).
  ☆38Updated 3 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• vislearn / HINT
  Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".
  ☆21Updated 4 years ago
• pputzky / invertible_rim
  Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations
  ☆37Updated 5 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆105Updated 3 years ago
• MLI-lab / Robustness-CS
  Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
  ☆31Updated 4 years ago
• mengxiangming / dmps
  dmps code
  ☆36Updated last year
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆60Updated 4 years ago
• samuro95 / GSPnP
  Source code for the paper "Gradient Step Denoiser for convergent Plug-and-Play"
  ☆35Updated last year
• reinhardh / supplement_deep_decoder
  ☆97Updated 6 years ago
• utcsilab / ambient-diffusion-mri
  [ICLR 2025] Official Implementation: "Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Cor…
  ☆18Updated 5 months ago
• NVlabs / RED-diff
  ☆91Updated 2 years ago
• tomMoral / adopty
  ☆19Updated 5 years ago
• GBATZOLIS / conditional_score_diffusion
  PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models
  ☆78Updated last year
• aangelopoulos / im2im-uq
  Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…
  ☆57Updated 2 years ago
• iamalexkorotin / Wasserstein2GenerativeNetworks
  PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
  ☆53Updated 2 years ago
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 4 years ago
• soominkwon / resample
  Official implementation of ReSample (https://arxiv.org/abs/2307.08123)
  ☆71Updated 8 months ago
• locuslab / deq-ddim
  ☆61Updated 2 years ago
• shirleyzhu233 / realNVP
  PyTorch implementation of realNVP
  ☆88Updated 11 months ago
• sherbret / normalization_equivariant_nn
  Official implementation of the paper "Normalization-Equivariant Neural Networks with Application to Image Denoising" (NeurIPS'23)
  ☆13Updated last month
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆56Updated last year
• LabForComputationalVision / bias_free_denoising
  Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks
  ☆56Updated 3 years ago
• chenlin9 / Gaussianization_Flows
  ☆21Updated 5 years ago
• edongdongchen / DDN
  Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
  ☆30Updated 3 years ago
• swing-research / trumpets
  Official repo for Trumpets: Injective Flows for Inference and Inverse Problems
  ☆13Updated 4 years ago