Alternatives and similar repositories for GlowIP

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

• vislearn / conditional_INNs
  Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)
  ☆101Updated 5 years ago
• IamHuijben / Deep-Probabilistic-Subsampling
  ☆24Updated 4 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆52Updated 3 years ago
• 5yearsKim / Conditional-Normalizing-Flow
  Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model
  ☆79Updated 2 years ago
• vislearn / HINT
  Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".
  ☆21Updated 4 years ago
• Typal-Research / jacobian_free_backprop
  Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).
  ☆39Updated 3 years ago
• mengxiangming / dmps
  dmps code
  ☆38Updated last year
• LabForComputationalVision / universal_inverse_problem
  Examples and code for "Solving linear inverse problems using the prior implicit in a denoiser", Z Kadkhodaie and EP Simoncelli
  ☆56Updated 4 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
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆60Updated 4 years ago
• 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
• ajiljalal / code-cs-fairness
  ☆19Updated 2 years ago
• swing-research / trumpets
  Official repo for Trumpets: Injective Flows for Inference and Inverse Problems
  ☆13Updated 4 years ago
• MLI-lab / overparameterized_convolutional_generators
  ☆16Updated 6 years ago
• edongdongchen / DDN
  Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
  ☆29Updated 4 years ago
• MLI-lab / Robustness-CS
  Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
  ☆32Updated 4 years ago
• locuslab / deq-ddim
  ☆63Updated 2 years ago
• ChristophReich1996 / Dirac-GAN
  PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].
  ☆18Updated 4 years ago
• sherbret / normalization_equivariant_nn
  Official implementation of the paper "Normalization-Equivariant Neural Networks with Application to Image Denoising" (NeurIPS'23)
  ☆13Updated 4 months ago
• samuro95 / GSPnP
  Source code for the paper "Gradient Step Denoiser for convergent Plug-and-Play"
  ☆36Updated last year
• juglab / FourierImageTransformer
  Fourier Image Transformer (FIT) can solve relevant image analysis tasks in Fourier space.
  ☆100Updated 3 years ago
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆147Updated 5 years ago
• zhifengkong / FastDPM_pytorch
  Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models
  ☆83Updated 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
• YangNaruto / latent-energy-transport
  ☆54Updated 4 years ago
• vdeborto / cdsb
  ☆24Updated 3 years ago
• reinhardh / supplement_deep_decoder
  ☆98Updated 6 years ago
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 4 years ago