Alternatives and similar repositories for Arbitrary-Scale-SR

Users that are interested in Arbitrary-Scale-SR are comparing it to the libraries listed below

• zhengchen1999 / CAT
  [NeurIPS'22] Cross Aggregation Transformer for Image Restoration
  ☆144Updated last year
• caojiezhang / CiaoSR
  PyTorch implementation of "CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution (CVPR202…
  ☆135Updated last year
• XYLGroup / DKP
  ☆64Updated last year
• mandalinadagi / WGSR
  [CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
  ☆91Updated last year
• jaroslaw1007 / CLIT
  ☆53Updated 6 months ago
• XLearning-SCU / 2023-CVPR-CODE
  PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).
  ☆58Updated 2 years ago
• XiangZ-0 / HiT-SR
  [ECCV 2024 - Oral] HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution
  ☆153Updated 8 months ago
• DarrenPan / Awesome-ICCV2023-Low-Level-Vision
  A Collection of Papers and Codes in ICCV2023/2021 about low level vision
  ☆196Updated last year
• HeZongyao / LMF
  [CVPR 2024 Highlight] LMF (Latent Modulated Function for Computational Optimal Continuous Image Representation)
  ☆71Updated last year
• Andrew0613 / X-Restormer
  ECCV2024：A Comparative Study of Image Restoration Networks for General Backbone Network Design
  ☆134Updated 11 months ago
• lyh-18 / DegAE_DegradationAutoencoder
  Codes for CVPR2023 paper "DegAE: A New Pretraining Paradigm for Low-level Vision"
  ☆77Updated 2 years ago
• mandalinadagi / Wavelettention
  [CVPRW 2024] Training Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
  ☆46Updated last year
• gladzhang / Xformer
  Xformer: Hybrid X-Shaped Transformer for Image Denoising
  ☆53Updated last year
• JNNNNYao / LINF
  ☆49Updated 2 years ago
• rayabhisek123 / CFAT
  [CVPR 2024] CFAT: Unleashing Triangular Windows for Image Super-resolution
  ☆92Updated 5 months ago
• jaewon-lee-b / lte
  Local Texture Estimator for Implicit Representation Function, in CVPR 2022
  ☆188Updated 2 years ago
• Zdafeng / SwinFIR
  ☆95Updated last year
• pf0607 / COZ
  Official dataset and code of Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World[CVPR2024].
  ☆47Updated 2 months ago
• rami0205 / NGramSwin
  N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution (CVPR2023 Accepted)
  ☆88Updated 2 years ago
• X-Lowlevel-Vision / LAM_Demo
  Demo package for colab tutorial
  ☆55Updated 5 years ago
• linxin0 / SCPGabNet
  ☆39Updated last year
• MC-E / Deep-Generalized-Unfolding-Networks-for-Image-Restoration
  Accepted by CVPR 2022
  ☆162Updated 3 years ago
• nagejacob / SpatiallyAdaptiveSSID
  Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising (CVPR 2023)
  ☆102Updated last year
• yulunzhang / awesome-diffusion-low-level-vision
  Awesome Diffusion Models in Low-Level Vision
  ☆185Updated 2 years ago
• alwaysuu / CLIPDenoising
  CVPR2024: Transfer CLIP for Generalizable Image Denoising
  ☆95Updated last year
• Tang1705 / Local-Attribution-Maps-for-Super-Resolution
  局部归因图(Local Attribution Map， LAM)是一个超分辨率重建任务的可解释性工具，旨在找到低分辨率输入图像中对网络超分结果贡献最强烈的像素。LAM 将跟踪模型使用的信息，并在指定超分结果局部区域的前提下，高亮对超分结果贡献最大的像素。
  ☆18Updated 2 years ago
• QianNing0 / UDL
  PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"
  ☆58Updated 4 years ago
• Brian-Moser / diwa
  Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution
  ☆54Updated last year
• jiangyitong / AutoDIR
  ☆104Updated 10 months ago
• yjsunnn / FBANet
  Official implementation of ICCV2023 "Towards Real-World Burst Image Super-Resolution: Benchmark and Method"
  ☆130Updated last year