Alternatives and similar repositories for FourierImageTransformer

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

• lucidrains / uformer-pytorch
  Implementation of Uformer, Attention-based Unet, in Pytorch
  ☆95Updated 3 years ago
• divelab / Noise2Same
  ☆63Updated 4 years ago
• cetmann / iunets
  A fully invertible U-Net for memory efficiency in Pytorch.
  ☆127Updated 3 years ago
• razvanmarinescu / brgm-pytorch
  ☆35Updated 3 years ago
• GaryMataev / DeepRED
  DeepRED: Deep Image Prior Powered by RED
  ☆65Updated 5 years ago
• COMP6248-Reproducability-Challenge / selfsupervised-denoising
  High-Quality Self-Supervised Deep Image Denoising - Unofficial PyTorch implementation of the NeurIPS 2019 paper
  ☆69Updated 4 years ago
• csm9493 / GAN2GAN
  The Official code of GAN2GAN (ICLR 2021)
  ☆33Updated 3 years ago
• YangNaruto / latent-energy-transport
  ☆54Updated 4 years ago
• juglab / pn2v
  This is our implementation of Probabilistic Noise2Void
  ☆75Updated last year
• MLI-lab / overparameterized_convolutional_generators
  ☆15Updated 5 years ago
• SteffenCzolbe / PerceptualSimilarity
  ☆104Updated 2 years ago
• RobinBruegger / RevTorch
  Framework for creating (partially) reversible neural networks with PyTorch
  ☆152Updated 3 years ago
• ZezhouCheng / GP-DIP
  Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)
  ☆61Updated 6 years ago
• edongdongchen / DDN
  Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
  ☆30Updated 3 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
• benMen87 / ApproximateConvolutionalSparseCoding
  An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328
  ☆43Updated 3 years ago
• vpronina / DeepWienerRestoration
  ☆15Updated 4 years ago
• vislearn / conditional_INNs
  Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)
  ☆99Updated 4 years ago
• kellman / physics_based_learning
  Learning for computational imaging system made simple.
  ☆64Updated 4 years ago
• tychovdo / RevGAN
  RevGAN implementation in PyTorch. We extend the Pix2pix and CycleGAN framework by exploring approximately invertible architectures in 2D …
  ☆84Updated 5 years ago
• juglab / PPN2V
  Code Implementation for the publication "Fully Unsupervised Probabilistic Noise2Void"
  ☆56Updated last year
• mtyka / laploss
  Laplacian Pyramid Loss
  ☆44Updated 8 years ago
• sdv4 / FDPL
  Frequency Domain Perceptual Loss for Super Resolution
  ☆26Updated 3 years ago
• VITA-Group / Sandwich-Batch-Normalization
  [WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tian…
  ☆51Updated 3 years ago
• YunChunChen / NAS-DIP-pytorch
  [ECCV 2020] NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
  ☆127Updated 4 years ago
• raghavian / cFlow
  This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…
  ☆30Updated 2 years ago
• Vandermode / TFPnP
  Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020 Award Paper & JMLR 2022)
  ☆89Updated 7 months ago
• liutianlin0121 / musc
  Implementation of "Learning Multiscale Convolutional Dictionaries for Image Reconstruction", IEEE Transaction On Computational Imaging, 2…
  ☆31Updated 2 years ago
• uschmidt83 / fourier-deconvolution-network
  Code for ICCV 2017 paper "Learning to Push the Limits of Efficient FFT-based Image Deconvolution" (Jakob Kruse, Carsten Rother, and Uwe S…
  ☆37Updated 7 years ago
• andreas128 / NTIRE21_Learning_SR_Space
  CVPR 2021 Challenge on Super-Resolution Space
  ☆105Updated 3 years ago