Alternatives and similar repositories for deep-hist

Users that are interested in deep-hist are comparing it to the libraries listed below

• cindydeng1991 / Wavelet-Domain-Style-Transfer-for-an-Effective-Perception-distortion-Tradeoff-in-Single-Image-Super-
  ICCV 2019 oral presentation
  ☆43Updated 5 years ago
• volflow / DeFlow
  Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
  ☆93Updated 2 years ago
• SHI-Labs / UltraSR-Arbitrary-Scale-Super-Resolution
  [Preprint] UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution, 2021
  ☆55Updated 4 years ago
• parkseobin / MLSR
  Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
  ☆67Updated 2 years ago
• YuvalBahat / Explorable-Super-Resolution
  ☆63Updated 3 years ago
• WenxueCui / Transformer_Low_Level_Vision
  Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)
  ☆54Updated 3 years ago
• ygjwd12345 / GLANet
  ☆30Updated 3 years ago
• andreas128 / NTIRE21_Learning_SR_Space
  CVPR 2021 Challenge on Super-Resolution Space
  ☆105Updated 3 years ago
• hjSim / KOALAnet
  Official repository of KOALAnet (CVPR, 2021)
  ☆38Updated 2 years ago
• assafshocher / Resizer
  The only way to resize images
  ☆32Updated 4 years ago
• yuke93 / Path-Restore
  Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)
  ☆42Updated 3 years ago
• aamir-mustafa / Transformation-CR
  Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation
  ☆20Updated 2 years ago
• Wenchao-Du / LIR-for-Unsupervised-IR
  This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"
  ☆101Updated 5 years ago
• z-bingo / Contextual-Loss-PyTorch
  An implement of contextual loss using PyTorch.
  ☆48Updated 5 years ago
• crowsonkb / vgg_loss
  A VGG-based perceptual loss function for PyTorch.
  ☆67Updated 4 years ago
• WendongZh / SPN
  [PR'23] Code for Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid
  ☆14Updated 2 years ago
• shadyabh / Correction-Filter
  ☆76Updated 4 years ago
• birdortyedi / vcnet-blind-image-inpainting
  Reproduction of "VCNet: A Robust Approach to Blind Image Inpainting"
  ☆45Updated 4 years ago
• hiyaroy12 / DFT_inpainting
  Image inpainting using frequency domain priors
  ☆15Updated 4 years ago
• ychfan / nsr
  Neural Sparse Representation for Image Restoration
  ☆31Updated 5 years ago
• eyalnaor / DeepTemporalSR
  Across Scales & Across Dimensions - Temporal Super-Resolution using Deep Internal Learning
  ☆45Updated 4 years ago
• tamarott / ASAPNet
  ☆126Updated 3 years ago
• gfxdisp / mdf
  Multi-scale discriminator feature-wise loss function
  ☆105Updated 2 years ago
• codyshen0000 / ITSRN
  Code repo for "Implicit Transformer Network for Screen ContentImage Continuous Super-Resolution" (NeurIPS'21)
  ☆51Updated 3 months ago
• shepnerd / blindinpainting_vcnet
  VCNet: a robust approach to blind image inpainting, ECCV2020
  ☆49Updated 4 years ago
• terryoo / AINDNet
  Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)
  ☆81Updated 5 years ago
• arcchang1236 / CA-NoiseGAN
  The official implementation of our ECCV 2020 paper "Learning Camera-Aware Noise Models".
  ☆75Updated 4 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆147Updated 3 years ago
• assafshocher / BlindSR_dataset_generator
  Downscale a set of images by randomly created kernels and save them
  ☆77Updated 4 years ago
• onwn / C2N
  ☆38Updated 3 years ago