Alternatives and similar repositories for EMT:

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

• pranavphoenix / WaveMixSR
  Single Image Super Resolution Using WaveMix
  ☆45Updated 4 months ago
• gladzhang / Xformer
  Xformer: Hybrid X-Shaped Transformer for Image Denoising
  ☆39Updated 10 months ago
• c-yn / IRNeXt
  [ICML2023] IRNeXt: Rethinking Convolutional Network Design for Image Restoration
  ☆52Updated 6 months ago
• thy960112 / MDBN
  This is an official implementation for "Multi-depth branch network for efficient image super-resolution".
  ☆18Updated 9 months ago
• lusinlu / gradient-variance-loss
  Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"
  ☆29Updated 2 years ago
• rayabhisek123 / CFAT
  [CVPR 2024] CFAT: Unleashing Triangular Windows for Image Super-resolution
  ☆81Updated 6 months ago
• c-yn / OKNet
  [AAAI2024] Omni-Kernel Network for Image Restoration
  ☆48Updated last week
• stella-von / LKDN
  Large Kernel Distillation Network for Efficient Single Image Super-Resolution
  ☆34Updated last year
• c-yn / FSNet
  [TPAMI] Image Restoration via Frequency Selection
  ☆66Updated 9 months ago
• AlexZou14 / SCET
  Self-Calibrated Efficient Transformer for Lightweight Super-Resolution (offical)
  ☆37Updated 2 years ago
• zhoumumu / VapSR
  models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
  ☆73Updated 2 years ago
• laoyangui / DLSN
  This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".
  ☆53Updated last year
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆46Updated 2 years ago
• Aitical / CFSR
  [IEEE TIP] Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach
  ☆55Updated 2 months ago
• renyulin-f / MambaCSR
  The code source of MambaCSR
  ☆17Updated 3 months ago
• seungho-snu / SROOE
  Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation
  ☆65Updated last year
• Aitical / PCL-SISR
  [IEEE TNNLS] A Practical Contrastive Learning Framework for Single Image Super-Resolution
  ☆30Updated 8 months ago
• Xiangtaokong / MiOIR
  Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy
  ☆68Updated 10 months ago
• haoyuc / LWay
  [CVPR 2024] Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
  ☆30Updated 7 months ago
• XLearning-SCU / 2023-CVPR-CODE
  PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).
  ☆49Updated last year
• greatlog / RealDAN
  Official implementation of our IJCV paper
  ☆36Updated last year
• csguoh / AdaptIR
  [NeurIPS2024] Tune your restoration model with one 3090 GPU!
  ☆58Updated this week
• zhengchen1999 / NTIRE2023_ImageSR_x4
  Solution of the NTIRE 2023 Challenge on Image Super-Resolution (x4)
  ☆18Updated last month
• NeonLeexiang / DLGSANet
  ☆89Updated last year
• Aitical / TCSR
  Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution
  ☆25Updated last year
• Lincoln20030413 / DDSR
  PyTorch code for paper "Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstructi…
  ☆17Updated last year
• mandalinadagi / WGSR
  ☆65Updated 8 months ago
• 3587jjh / PCSR
  Accelerating Image Super-Resolution Networks with Pixel-Level Classification (ECCV 2024)
  ☆62Updated last month
• IVIPLab / FDIWN
  This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Im…
  ☆21Updated last year
• robotic-vision-lab / Dual-Interactive-Implicit-Neural-Network
  Dual interactive implicit neural network for super resolving images to arbitrary resolutions.
  ☆32Updated last year