Alternatives and similar repositories for LGBPN

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

• nagejacob / SpatiallyAdaptiveSSID
  Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising (CVPR 2023)
  ☆99Updated last year
• XLearning-SCU / 2023-CVPR-CODE
  PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).
  ☆58Updated 2 years ago
• XYLGroup / DKP
  ☆63Updated last year
• linxin0 / SCPGabNet
  ☆36Updated 9 months ago
• p1y2z3 / SDAP
  Random Sub-Samples Generation for Self-Supervised Real Image Denoising (ICCV 2023)
  ☆41Updated last year
• dannie125 / MM-BSN
  Official PyTorch implementation of "MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask based on Blind-Spot Network." …
  ☆46Updated 2 years ago
• alwaysuu / CLIPDenoising
  CVPR2024: Transfer CLIP for Generalizable Image Denoising
  ☆86Updated last year
• MC-E / Deep-Generalized-Unfolding-Networks-for-Image-Restoration
  Accepted by CVPR 2022
  ☆157Updated 3 years ago
• wooseoklee4 / AP-BSN
  Official PyTorch implementation of "AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network" in …
  ☆118Updated 3 years ago
• Fangzhenxuan / UFPDeblur
  ☆46Updated 2 years ago
• jaroslaw1007 / CLIT
  ☆52Updated 3 months ago
• cschenxiang / DCD-GAN
  Unpaired Deep Image Deraining Using Dual Contrastive Learning (CVPR 2022)
  ☆55Updated 2 years ago
• it-hao / ADFNet
  [AAAI 2023] Adaptive Dynamic Filtering Network for Image Denoising.
  ☆51Updated last year
• DeepMed-Lab / DeepRFT-AAAI2023
  ☆32Updated 2 years ago
• zejinwang / Blind2Unblind
  This is an official implementation of the CVPR2022 paper "Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots".
  ☆132Updated 2 years ago
• Easquel / WaveDM
  Implementation code for WaveDM: Wavelet-Based Diffusion Models for Image Restoration.
  ☆61Updated 4 months ago
• mandalinadagi / Wavelettention
  [CVPRW 2024] Training Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
  ☆42Updated last year
• X-Lowlevel-Vision / LAM_Demo
  Demo package for colab tutorial
  ☆55Updated 4 years ago
• lhh-pi / LAM
  Local AtrrLocal Attribution Maps (LAM)
  ☆14Updated 2 years ago
• jyicu / CBSN
  This is an official implementation of "Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Networ…
  ☆14Updated last year
• Aitical / PCL-SISR
  [IEEE TNNLS] A Practical Contrastive Learning Framework for Single Image Super-Resolution
  ☆33Updated last year
• Zdafeng / SwinFIR
  ☆92Updated last year
• c-yn / SFNet
  [ICLR 2023] Selective Frequency Network for Image Restoration
  ☆137Updated 6 months ago
• XunpengYi / Diff-Retinex
  Official Code of the Diff-Retinex: Rethinking Low-Light Image Enhancement with A Generative Diffusion Model (ICCV2023)
  ☆61Updated 8 months ago
• Aitical / MCLIR
  [AAAI 2024] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
  ☆35Updated last year
• stella-von / LKDN
  Large Kernel Distillation Network for Efficient Single Image Super-Resolution
  ☆36Updated last year
• aipixel / FourierDiff
  ☆61Updated last year
• mandalinadagi / WGSR
  [CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
  ☆87Updated last year
• QianNing0 / UDL
  PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"
  ☆57Updated 3 years ago
• zhangyi-3 / UCDIR
  A Unified Conditional Framework for Diffusion-based Image Restoration
  ☆91Updated last year