Alternatives and similar repositories for RFB_ESRGAN-PyTorch:

Users that are interested in RFB_ESRGAN-PyTorch are comparing it to the libraries listed below

• shadyabh / Correction-Filter
  ☆76Updated 3 years ago
• ShuhangGu / DASR
  Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"
  ☆237Updated 3 years ago
• ncarraz / ESRGANplus
  ICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise …
  ☆133Updated last year
• wonbeomjang / ESRGAN-pytorch
  re-implementation super resolution pytorch using ESRGAN
  ☆100Updated 4 years ago
• Alan-xw / RealSR
  [Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)
  ☆82Updated 3 years ago
• manuelfritsche / real-world-sr
  [ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This co…
  ☆165Updated 4 years ago
• assafshocher / BlindSR_dataset_generator
  Downscale a set of images by randomly created kernels and save them
  ☆76Updated 3 years ago
• sefibk / KernelGAN
  ☆347Updated 3 years ago
• NJU-Jet / SR_Framework
  A generic framework which implements some famouts super-resolution models
  ☆66Updated 3 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆148Updated 3 years ago
• zudi-lin / rcan-it
  Revisiting RCAN: Improved Training for Image Super-Resolution
  ☆93Updated 2 years ago
• yuanjunchai / IKC
  Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)
  ☆219Updated 5 years ago
• njulj / RFANet
  Residual Feature Aggregation Network for Image Super-Resolution
  ☆103Updated 4 years ago
• dvlab-research / MASA-SR
  MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)
  ☆165Updated 3 years ago
• AbdulMoqeet / MAFFSRN
  ☆46Updated 3 years ago
• JWSoh / NatSR
  Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
  ☆116Updated 4 years ago
• wwlCape / HAN
  PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"
  ☆177Updated 3 years ago
• csxmli2016 / ASFFNet
  Enhanced Blind Face Restoration with Multi-Exemplar Images and Adaptive Spatial Feature Fusion (CVPR 2020)
  ☆105Updated 2 years ago
• XHWXD / DBSN
  Unpaired Learning of Deep Image Denoising
  ☆135Updated 4 years ago
• xiezw5 / Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution
  ☆193Updated 4 years ago
• Holmes-Alan / dSRVAE
  Unsupervised Real Image Super-Resolution via Variational AutoEncoder in CVPR2020
  ☆117Updated last year
• JimmyChame / SADNet
  Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"
  ☆130Updated 2 years ago
• JingyunLiang / MANet
  Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)
  ☆172Updated 3 years ago
• RaoUmer / SRResCGAN
  Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).
  ☆96Updated 2 years ago
• njulj / RFDN
  Residual Feature Distillation Network for Lightweight Image Super-Resolution
  ☆368Updated last year
• fzuzyb / 2020NTIRE-Guided-Frequency-Separation-Network-for-RWSR
  ☆29Updated 4 years ago
• greatlog / DAN
  This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution
  ☆234Updated last year
• saeed-anwar / DRLN
  Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
  ☆184Updated 4 years ago
• sanghyun-son / bicubic_pytorch
  A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.
  ☆138Updated 4 years ago
• zhoumumu / VapSR
  models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
  ☆73Updated 2 years ago