Alternatives and similar repositories for CLIT

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

• XLearning-SCU / 2023-CVPR-CODE
  PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).
  ☆60Updated 2 years ago
• XYLGroup / DKP
  ☆66Updated last year
• Wang-XIaoDingdd / LGBPN
  LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising (CVPR 2023)
  ☆64Updated 2 years ago
• caojiezhang / CiaoSR
  PyTorch implementation of "CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution (CVPR202…
  ☆136Updated last year
• zhangyi-3 / UCDIR
  A Unified Conditional Framework for Diffusion-based Image Restoration
  ☆93Updated last year
• QianNing0 / UDL
  PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"
  ☆59Updated 4 years ago
• zhengchen1999 / CAT
  [NeurIPS'22] Cross Aggregation Transformer for Image Restoration
  ☆147Updated last year
• nagejacob / SpatiallyAdaptiveSSID
  Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising (CVPR 2023)
  ☆103Updated last year
• X-Lowlevel-Vision / LAM_Demo
  Demo package for colab tutorial
  ☆56Updated 5 years ago
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 3 years ago
• lyh-18 / DegAE_DegradationAutoencoder
  Codes for CVPR2023 paper "DegAE: A New Pretraining Paradigm for Low-level Vision"
  ☆77Updated 2 years ago
• mandalinadagi / WGSR
  [CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
  ☆93Updated last year
• jaewon-lee-b / lte
  Local Texture Estimator for Implicit Representation Function, in CVPR 2022
  ☆191Updated 2 years ago
• alwaysuu / CLIPDenoising
  CVPR2024: Transfer CLIP for Generalizable Image Denoising
  ☆99Updated last year
• Zj-BinXia / MRDA
  This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023
  ☆27Updated 2 years ago
• linxin0 / SCPGabNet
  ☆39Updated last year
• pf0607 / COZ
  Official dataset and code of Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World[CVPR2024].
  ☆48Updated 3 months ago
• Fangzhenxuan / UFPDeblur
  ☆49Updated 2 years ago
• Andrew0613 / X-Restormer
  ECCV2024：A Comparative Study of Image Restoration Networks for General Backbone Network Design
  ☆134Updated last year
• wooseoklee4 / AP-BSN
  Official PyTorch implementation of "AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network" in …
  ☆127Updated 3 years ago
• mandalinadagi / Wavelettention
  [CVPRW 2024] Training Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
  ☆48Updated last year
• longzilicart / pip_universal
  ☆53Updated 2 years ago
• gladzhang / Xformer
  Xformer: Hybrid X-Shaped Transformer for Image Denoising
  ☆55Updated last year
• akshaydudhane16 / Burstormer
  SOTA for Burst Super-resolution, Low-light Burst Image Enhancement, Burst Image De-noising
  ☆146Updated 2 years ago
• neuralchen / EQSR
  An Arbitrary-Scale Image Super-Resolution Framework (CVPR2023)
  ☆46Updated 2 years ago
• bbbolt / MDRN
  Multi-level Dispersion Residual Network for Efficient Image Super-Resolution
  ☆30Updated 2 years ago
• NeonLeexiang / DLGSANet
  ☆93Updated 10 months ago
• Weepingchestnut / Arbitrary-Scale-SR
  Arbitrary-scale image super-resolution (ISR) and video super-resolution (VSR)
  ☆111Updated 9 months ago
• Aitical / MCLIR
  [AAAI 2024 & IJCV 2025] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
  ☆37Updated 3 months ago
• codyshen0000 / ITSRN
  Code repo for "Implicit Transformer Network for Screen ContentImage Continuous Super-Resolution" (NeurIPS'21)
  ☆56Updated 9 months ago