Alternatives and similar repositories for NGramSwin

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

• zhengchen1999 / CAT
  [NeurIPS'22] Cross Aggregation Transformer for Image Restoration
  ☆144Updated last year
• NeonLeexiang / DLGSANet
  ☆93Updated 9 months ago
• stella-von / LKDN
  Large Kernel Distillation Network for Efficient Single Image Super-Resolution
  ☆39Updated 2 years ago
• rayabhisek123 / CFAT
  [CVPR 2024] CFAT: Unleashing Triangular Windows for Image Super-resolution
  ☆92Updated 6 months ago
• zhoumumu / VapSR
  models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
  ☆75Updated 3 years ago
• seungho-snu / SROOE
  Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation
  ☆65Updated 2 years ago
• sunny2109 / Awesome-low-level-vision-resources
  A curated list of resources for Low-level Vision Tasks
  ☆58Updated 2 years ago
• caojiezhang / CiaoSR
  PyTorch implementation of "CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution (CVPR202…
  ☆135Updated last year
• sunny2109 / ShuffleMixer
  [NeurIPS 2022] ShuffleMixer: An Efficient ConvNet for Image Super-Resolution
  ☆75Updated 2 years ago
• pp00704831 / Stripformer-ECCV-2022-
  ☆107Updated last year
• mandalinadagi / WGSR
  [CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
  ☆91Updated last year
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 3 years ago
• yjsunnn / FBANet
  Official implementation of ICCV2023 "Towards Real-World Burst Image Super-Resolution: Benchmark and Method"
  ☆131Updated 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
  ☆64Updated last year
• passerer / HPINet
  Hierarchical Pixel Integration for Lightweight Image Super-Resolution
  ☆32Updated last year
• Zdafeng / SwinFIR
  ☆95Updated last year
• c-yn / IRNeXt
  [ICML2023] IRNeXt: Rethinking Convolutional Network Design for Image Restoration
  ☆72Updated last year
• X-Lowlevel-Vision / LAM_Demo
  Demo package for colab tutorial
  ☆55Updated 5 years ago
• fengzhang427 / LRD
  Official implementation for our ICCV 2023 paper “Towards General Low-Light Raw Noise Synthesis and Modeling”
  ☆76Updated 2 years ago
• akshaydudhane16 / Burstormer
  SOTA for Burst Super-resolution, Low-light Burst Image Enhancement, Burst Image De-noising
  ☆144Updated 2 years ago
• savvaki / LPDM
  Denoising Diffusion Post-Processing for Low-Light Image Enhancement
  ☆59Updated 7 months ago
• jiahong-fu / KXNet
  [ECCV 2022 Oral🔥] KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
  ☆24Updated 2 years ago
• QianNing0 / UDL
  PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"
  ☆58Updated 4 years ago
• Aitical / MCLIR
  [AAAI 2024] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
  ☆37Updated 2 months ago
• haoyuc / LWay
  [CVPR 2024] Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
  ☆42Updated last year
• laoyangui / DLSN
  This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".
  ☆53Updated 2 years ago
• dasongli1 / Learning_degradation
  ☆62Updated 2 years ago
• sunny2109 / MobileSR-NTIRE2022
  [NTIRE 2022, EfficientSR] MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution
  ☆74Updated 2 years ago
• pranavphoenix / WaveMixSR
  Single Image Super Resolution Using WaveMix
  ☆52Updated last year