Alternatives and similar repositories for NTIRE21_Learning_SR_Space

Users that are interested in NTIRE21_Learning_SR_Space are comparing it to the libraries listed below

• YuvalBahat / Explorable-Super-Resolution
  ☆63Updated 3 years ago
• volflow / DeFlow
  Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
  ☆94Updated 3 years ago
• shadyabh / Correction-Filter
  ☆76Updated 4 years ago
• gfxdisp / mdf
  Multi-scale discriminator feature-wise loss function
  ☆106Updated 3 years ago
• majedelhelou / SFM
  (ECCV 2020) Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
  ☆151Updated 4 years ago
• BorealisAI / noise_flow
  Noise Flow: Noise Modeling with Conditional Normalizing Flows
  ☆153Updated 4 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 5 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆149Updated 4 years ago
• assafshocher / BlindSR_dataset_generator
  Downscale a set of images by randomly created kernels and save them
  ☆77Updated 4 years ago
• JingyunLiang / HCFlow
  Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV…
  ☆196Updated 4 years ago
• Holmes-Alan / dSRVAE
  Unsupervised Real Image Super-Resolution via Variational AutoEncoder in CVPR2020
  ☆120Updated 2 years ago
• S-aiueo32 / contextual_loss_pytorch
  Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).
  ☆174Updated 2 years ago
• andreas128 / NTIRE22_Learning_SR_Space
  ☆59Updated 3 years ago
• sunreef / BlindSR
  Independent implementation of the algorithm from the paper "Blind Image Super-Resolution with Spatially Variant Degradations"
  ☆60Updated 5 years ago
• ShuhangGu / DASR
  Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"
  ☆241Updated 4 years ago
• hejingwenhejingwen / CResMD
  (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
  ☆96Updated 5 years ago
• parkseobin / MLSR
  Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
  ☆67Updated 2 years ago
• assafshocher / Resizer
  The only way to resize images
  ☆32Updated 5 years ago
• sanghyun-son / bicubic_pytorch
  A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.
  ☆139Updated 5 years ago
• zudi-lin / rcan-it
  Revisiting RCAN: Improved Training for Image Super-Resolution
  ☆96Updated 3 years ago
• yzhouas / PD-Denoising-pytorch
  Code of 'when AWGN-based Denoiser Meets Real Noises'
  ☆167Updated 5 years ago
• sefibk / KernelGAN
  ☆354Updated 3 years ago
• cindydeng1991 / Wavelet-Domain-Style-Transfer-for-an-Effective-Perception-distortion-Tradeoff-in-Single-Image-Super-
  ICCV 2019 oral presentation
  ☆44Updated 6 years ago
• XHWXD / DBSN
  Unpaired Learning of Deep Image Denoising
  ☆145Updated 5 years ago
• csmliu / AdaDSR
  Deep Adaptive Inference Networks for Single Image Super-Resolution
  ☆99Updated 5 years ago
• goutamgmb / NTIRE21_BURSTSR
  ☆93Updated 2 years ago
• SonghyunYu / DIDN
  Pytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".
  ☆74Updated 6 years ago
• dariofuoli / RLSP
  Official repository containing code and other material from the paper "Efficient Video Super-Resolution through Recurrent Latent Space Pr…
  ☆86Updated 4 years ago
• IVRL / Kernel-Modeling-Super-Resolution
  Official Implementation for Kernel Modeling Super-Resolution on Real Low-Resolution Images
  ☆94Updated 6 years ago
• arcchang1236 / CA-NoiseGAN
  The official implementation of our ECCV 2020 paper "Learning Camera-Aware Noise Models".
  ☆76Updated 5 years ago