Alternatives and similar repositories for NPPC

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

• 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
• omerb01 / puq
  Official implementation of "Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems" paper.
  ☆24Updated last year
• yang-song / score_inverse_problems
  Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"
  ☆253Updated 3 years ago
• francois-rozet / diffusion-priors
  Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization
  ☆26Updated 4 months ago
• matthieutrs / ram
  Official implementation of the Reconstruct Anything Model (RAM)
  ☆40Updated 3 weeks ago
• soominkwon / resample
  Official implementation of ReSample (https://arxiv.org/abs/2307.08123)
  ☆71Updated 8 months ago
• devzhk / InverseBench
  InverseBench (ICLR 2025 spotlight)
  ☆56Updated last week
• JJGO / hyperlight
  Modular and intuitive Hypernetworks in Pytorch
  ☆37Updated last year
• bahjat-kawar / gsure-diffusion
  ☆13Updated last year
• chenlin9 / Gaussianization_Flows
  ☆21Updated 5 years ago
• johertrich / Proximal_Neural_Networks
  Implementation for Proximal Neural Networks.
  ☆11Updated 3 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• HeSunPU / DPI
  Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
  ☆37Updated 3 years ago
• utcsilab / csgm-mri-langevin
  ☆95Updated 3 years ago
• jleuschn / cinn_for_imaging
  Conditional Invertible Neural Networks for Medical Imaging
  ☆20Updated 3 years ago
• sherbret / normalization_equivariant_nn
  Official implementation of the paper "Normalization-Equivariant Neural Networks with Application to Image Denoising" (NeurIPS'23)
  ☆13Updated last month
• GBATZOLIS / conditional_score_diffusion
  PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models
  ☆78Updated last year
• FabianAltekrueger / patchNR
  Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".
  ☆20Updated last year
• MLI-lab / Robustness-CS
  Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
  ☆32Updated 4 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).
  ☆58Updated 10 months ago
• HilaManor / GaussianDenoisingPosterior
  We derive a fundamental property of the posterior distribution in Gaussian denoising, and use it to propose a new way for uncertainty vis…
  ☆18Updated last year
• berthyf96 / score_prior
  Score-Based Priors for Bayesian Inverse Imaging (ICCV 2023, TMLR 2024)
  ☆35Updated 7 months ago
• cvlab-epfl / iter_unc
  Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
  ☆18Updated last year
• NVlabs / RED-diff
  ☆91Updated 2 years ago
• casus / cvdm
  ☆10Updated 6 months ago
• siddharth-maddali / frft
  Fast implementation of the multi-dimensional fractional Fourier transform in Python
  ☆50Updated 3 years ago
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆52Updated 2 years ago
• loeweX / ComplexAutoEncoder
  Code for the paper: Complex-Valued Autoencoders for Object Discovery
  ☆56Updated 2 years 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
  ☆55Updated 4 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆37Updated last year