Alternatives and similar repositories for trainable-bilateral-filter-source

Users that are interested in trainable-bilateral-filter-source are comparing it to the libraries listed below

• edongdongchen / REI
  Robust Equivariant Imaging (REI), CVPR'2022 Oral
  ☆96Updated 3 years ago
• edongdongchen / EI
  Equivariant Imaging (EI), ICCV'2021 Oral
  ☆74Updated 3 years ago
• VLOGroup / tdv
  Total Deep Variation Regularizer
  ☆51Updated 4 years ago
• jleuschn / dival
  Deep Inversion Validation Library
  ☆82Updated last year
• LabForComputationalVision / bias_free_denoising
  Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks
  ☆55Updated 4 years ago
• jonathanventura / self-supervised-poisson-gaussian
  Self Supervised Poisson-Gaussian Denoising
  ☆20Updated 4 months ago
• MLI-lab / ConvDecoder
  An un-trained neural network with a potential application in accelerated MRI
  ☆46Updated 4 years ago
• ahendriksen / noise2inverse
  Code accompanying "Noise2Inverse: Self-supervised deep convolutional denoising for linear image reconstruction"
  ☆40Updated 4 years ago
• hanyoseob / pytorch-noise2void
  Noise2Void - Learning Denoising from Single Noisy Images
  ☆147Updated 4 years ago
• faebstn96 / trainable-joint-bilateral-filter-source
  This is our implementation of a trainable joint bilateral filter layer (PyTorch)
  ☆29Updated 3 years ago
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 4 years ago
• eboigne / PyTV-4D
  Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Cham…
  ☆45Updated 2 years ago
• tristan-deep / joint-diffusion
  Official code repository for the paper: Removing Structured Noise using Diffusion Models
  ☆24Updated 10 months ago
• matteo-ronchetti / torch-radon
  Computational Tomography in PyTorch
  ☆264Updated 2 years ago
• Vandermode / TFPnP
  Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020 Award Paper & JMLR 2022)
  ☆92Updated last year
• alexdenker / SteerableConditionalDiffusion
  An implementation of Steerable Conditional Diffusion Sampler
  ☆16Updated 9 months ago
• adler-j / learned_primal_dual
  Learned Primal-Dual Reconstruction
  ☆106Updated 6 years ago
• wustl-cig / Cooridnate-based-Internal-Learning
  The codebase for 'CoIL: Coordinate-based Internal Learning for Tomographic Imaging'
  ☆24Updated 3 years ago
• xiawj-hub / MAGIC
  ☆22Updated 4 years ago
• efzero / PINER
  ☆20Updated 2 years ago
• wustl-cig / DOLCE
  DOLCE, ICCV2023. Pytorch Implementation.
  ☆57Updated last year
• guopengf / ReconFormer
  ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer
  ☆78Updated last year
• liyues / NeRP
  Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction
  ☆111Updated 2 years ago
• GaryMataev / DeepRED
  DeepRED: Deep Image Prior Powered by RED
  ☆68Updated 6 years ago
• jason-lequyer / Noise2Fast
  ☆72Updated 2 years ago
• jmaces / aapm-ct-challenge
  AAPM DL Sparse-View Computed Tomography Image Reconstruction Challenge - Team Robust-And-Stable
  ☆50Updated 3 years ago
• COMP6248-Reproducability-Challenge / selfsupervised-denoising
  High-Quality Self-Supervised Deep Image Denoising - Unofficial PyTorch implementation of the NeurIPS 2019 paper
  ☆70Updated 5 years ago
• JinYize / self2self_pytorch
  ☆35Updated 4 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
  ☆56Updated 5 years ago
• tachella / unsure
  code related to "UNSURE: Unknown Noise level Stein's Unbiased Risk Estimator" by Tachella, Davies and Jacques
  ☆13Updated 2 months ago