Alternatives and similar repositories for FourierImageTransformer

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

• divelab / Noise2Same
  ☆63Updated 4 years ago
• cetmann / iunets
  A fully invertible U-Net for memory efficiency in Pytorch.
  ☆128Updated 3 years ago
• lucidrains / uformer-pytorch
  Implementation of Uformer, Attention-based Unet, in Pytorch
  ☆95Updated 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
• GaryMataev / DeepRED
  DeepRED: Deep Image Prior Powered by RED
  ☆67Updated 5 years ago
• juglab / pn2v
  This is our implementation of Probabilistic Noise2Void
  ☆75Updated 2 years ago
• edongdongchen / DDN
  Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
  ☆30Updated 3 years ago
• ZezhouCheng / GP-DIP
  Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)
  ☆61Updated 6 years ago
• liutianlin0121 / musc
  Implementation of "Learning Multiscale Convolutional Dictionaries for Image Reconstruction", IEEE Transaction On Computational Imaging, 2…
  ☆32Updated 2 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)
  ☆34Updated 3 years ago
• razvanmarinescu / brgm-pytorch
  ☆35Updated 3 years ago
• vislearn / conditional_INNs
  Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)
  ☆99Updated 4 years ago
• MLI-lab / overparameterized_convolutional_generators
  ☆16Updated 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
• RobinBruegger / RevTorch
  Framework for creating (partially) reversible neural networks with PyTorch
  ☆152Updated 3 years ago
• raghavian / cFlow
  This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…
  ☆30Updated 2 years ago
• bruno-31 / groupsc
  Code for the paper: Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration (ECCV 2020)
  ☆59Updated 4 years ago
• YangNaruto / latent-energy-transport
  ☆54Updated 4 years ago
• mtyka / laploss
  Laplacian Pyramid Loss
  ☆44Updated 8 years ago
• SteffenCzolbe / PerceptualSimilarity
  ☆104Updated 2 years ago
• ioangatop / srVAE
  VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
  ☆79Updated 4 years ago
• keivanalizadeh / ButterflyTransform
  ☆41Updated 4 years ago
• CACTuS-AI / GlowIP
  Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"
  ☆21Updated 5 years ago
• andreas128 / NTIRE21_Learning_SR_Space
  CVPR 2021 Challenge on Super-Resolution Space
  ☆105Updated 3 years ago
• seung-lab / torchfields
  A PyTorch add-on for working with image mappings and displacement fields, including Spatial Transformers
  ☆52Updated 3 years ago
• reinhardh / supplement_deep_decoder
  ☆98Updated 6 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
• tychovdo / RevGAN
  RevGAN implementation in PyTorch. We extend the Pix2pix and CycleGAN framework by exploring approximately invertible architectures in 2D …
  ☆84Updated 5 years ago
• LabForComputationalVision / bias_free_denoising
  Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks
  ☆56Updated 3 years ago