Alternatives and similar repositories for deep-hist

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

• S-aiueo32 / contextual_loss_pytorch
  Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).
  ☆174Updated last year
• volflow / DeFlow
  Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
  ☆94Updated 3 years ago
• andreas128 / NTIRE21_Learning_SR_Space
  CVPR 2021 Challenge on Super-Resolution Space
  ☆105Updated 3 years ago
• YuvalBahat / Explorable-Super-Resolution
  ☆63Updated 3 years ago
• gfxdisp / mdf
  Multi-scale discriminator feature-wise loss function
  ☆106Updated 3 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆149Updated 4 years ago
• majedelhelou / SFM
  (ECCV 2020) Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
  ☆152Updated 3 years ago
• cindydeng1991 / Wavelet-Domain-Style-Transfer-for-an-Effective-Perception-distortion-Tradeoff-in-Single-Image-Super-
  ICCV 2019 oral presentation
  ☆44Updated 5 years ago
• arcchang1236 / CA-NoiseGAN
  The official implementation of our ECCV 2020 paper "Learning Camera-Aware Noise Models".
  ☆75Updated 4 years ago
• wangyx240 / High-Resolution-Image-Inpainting-GAN
  Pytorch Re-implementation of "Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting"(CVPR 2020 Oral)
  ☆78Updated 3 years ago
• z-bingo / Contextual-Loss-PyTorch
  An implement of contextual loss using PyTorch.
  ☆48Updated 6 years ago
• shadyabh / Correction-Filter
  ☆76Updated 4 years ago
• terryoo / AINDNet
  Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)
  ☆83Updated 5 years ago
• ShuhangGu / SGN_ICCV2019
  The code for my ICCV paper: Self-Guided Network for Fast Image Denoising.
  ☆52Updated 5 years ago
• yzxing87 / pytorch-deep-video-prior
  [NeurIPS 2020] Blind Video Temporal Consistency via Deep Video Prior
  ☆128Updated 2 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
• parkseobin / MLSR
  Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
  ☆67Updated 2 years ago
• Wenchao-Du / LIR-for-Unsupervised-IR
  This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"
  ☆102Updated 5 years ago
• hufu6371 / GcGAN
  ☆75Updated 5 years ago
• S-aiueo32 / srntt-pytorch
  A PyTorch implementation of SRNTT, which is a novel RefSR method.
  ☆111Updated 2 years ago
• hejingwenhejingwen / CResMD
  (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
  ☆96Updated 5 years ago
• ygjwd12345 / GLANet
  ☆32Updated 3 years ago
• tamarott / ASAPNet
  ☆126Updated 4 years ago
• jxgu1016 / Total_Variation_Loss.pytorch
  pytorch implementation of tv loss
  ☆107Updated 8 years ago
• JingyunLiang / HCFlow
  Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV…
  ☆194Updated 4 years ago
• JunlinHan / DCLGAN
  Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021, oral.
  ☆173Updated 3 months ago
• assafshocher / BlindSR_dataset_generator
  Downscale a set of images by randomly created kernels and save them
  ☆77Updated 4 years ago
• sookim813 / Reflection_removal_rendering
  Code for 'Single Image Reflection Removal with Physically-Based Training Images (CVPR 2020 oral)' https://sgvr.kaist.ac.kr/~smkim/Reflect…
  ☆38Updated last year
• shepnerd / blindinpainting_vcnet
  VCNet: a robust approach to blind image inpainting, ECCV2020
  ☆50Updated 4 years ago
• ckkelvinchan / GLEAN
  ☆107Updated 4 years ago