Alternatives and similar repositories for Pytorch-pixelRL

Users that are interested in Pytorch-pixelRL are comparing it to the libraries listed below

• WenxueCui / Transformer_Low_Level_Vision
  Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)
  ☆54Updated 3 years ago
• Nhat-Thanh / PixelRL-SR
  Pytorch implementation of Super-Resolution model using Multi-Step Reinforcement Learning
  ☆26Updated 2 years ago
• Zj-BinXia / ENLCA
  This project is official implementation of 'Efficient Non-Local Contrastive Attention for Image Super-Resolution', AAAI2022
  ☆87Updated 2 years ago
• rfuruta / pixelRL
  ☆146Updated 3 years ago
• RongkaiZhang / Deep-Reinforcement-Learning-for-Image-Denoising-via-Residual-Recovery
  Simple implementation of DRL (PPO is used) for image denoising via residual recovery
  ☆11Updated 3 years ago
• yuke93 / Path-Restore
  Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)
  ☆42Updated 3 years ago
• YuanfeiHuang / TLSR
  codes for TLSR (TPAMI 2022)
  ☆13Updated 2 years ago
• Zhentao-Liu / RealSRQ-KLTSRQA
  [IEEE TIP 2022] RealSRQ-KLTSRQA
  ☆38Updated 2 years ago
• IceClear / MW-GAN
  Official PyTorch implements for Multi-level Wavelet-Based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed…
  ☆51Updated 3 years ago
• shangqigao / BayeSR
  The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow
  ☆47Updated 2 years ago
• QianNing0 / UDL
  PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"
  ☆58Updated 3 years ago
• wentianli / MRI_RL
  ☆14Updated 4 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
• Holmes-Alan / RefVAE
  Reference based Image Super-Resolution via Variational AutoEncoder
  ☆29Updated 4 years ago
• gistvision / DIP-denosing
  Code and models for "Rethinking Deep Image Prior for Denoising" (ICCV 2021)
  ☆55Updated 4 years ago
• XHWXD / DBSN
  Unpaired Learning of Deep Image Denoising
  ☆141Updated 5 years ago
• GuoLanqing / ReLLIE
  ReLLIE (ACMMM2021), Pytorch implementation
  ☆65Updated 3 years ago
• terryoo / AINDNet
  Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)
  ☆83Updated 5 years ago
• memad73 / MoESR
  Blind Super-Resolution using an Ensemble of Kernel-Specific Networks
  ☆11Updated 4 years ago
• guanghaoyin / CMDSR
  Pytorch code for our TIP2022 paper "Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations"
  ☆23Updated 3 years ago
• ch-andrei / VTAMIQ
  Full-Reference Vision Transformer (ViT)-based IQA method
  ☆21Updated last year
• jianzhangcs / DAGL
  Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]
  ☆107Updated 4 years ago
• XLearning-SCU / 2020-NeurIPS-CLEARER
  ☆17Updated 4 years ago
• zsyOAOA / BSRDM
  Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)
  ☆96Updated 3 years ago
• jaroslaw1007 / CLIT
  ☆53Updated 4 months ago
• zhwhong / UIDNet
  End-to-End Unpaired Image Denoising with Conditional Adversarial Networks (AAAI-20)
  ☆24Updated 4 years ago
• powder21 / E2I-inpainting
  Code of the paper 'E2I: Generative Inpainting from Edge to Image'
  ☆10Updated 4 years ago
• jmzhang79 / Dual-ArbNet
  Official PyTorch implementation of Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI
  ☆17Updated 2 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
• Susmit-A / FSHDR
  [CVPR 2021] Labeled from Unlabeled: Exploiting Unlabeled Data for Few-shot Deep HDR Deghosting
  ☆17Updated 3 years ago