Alternatives and similar repositories for NTIRE22_Learning_SR_Space:

Users that are interested in NTIRE22_Learning_SR_Space are comparing it to the libraries listed below

• younggeun-kim / NCSR
  Code for the CVPR2021 workshop paper "Noise Conditional Flow Model for Learning the Super-Resolution Space"
  ☆64Updated 3 years ago
• andreas128 / NTIRE21_Learning_SR_Space
  CVPR 2021 Challenge on Super-Resolution Space
  ☆104Updated 3 years ago
• volflow / DeFlow
  Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
  ☆94Updated 2 years ago
• zudi-lin / rcan-it
  Revisiting RCAN: Improved Training for Image Super-Resolution
  ☆93Updated 2 years ago
• YuvalBahat / Explorable-Super-Resolution
  ☆62Updated 2 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆148Updated 3 years ago
• gfxdisp / mdf
  Multi-scale discriminator feature-wise loss function
  ☆105Updated 2 years ago
• andreas128 / AdFlow
  ☆40Updated 3 years ago
• JingyunLiang / HCFlow
  Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV…
  ☆190Updated 3 years ago
• WenxueCui / Transformer_Low_Level_Vision
  Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)
  ☆53Updated 2 years ago
• shadyabh / Correction-Filter
  ☆76Updated 3 years ago
• caojiezhang / DAVSR
  PyTorch implementation of "Towards Interpretable Video Super-Resolution via Alternating Optimization (ECCV2022)"
  ☆73Updated 11 months ago
• assafshocher / BlindSR_dataset_generator
  Downscale a set of images by randomly created kernels and save them
  ☆76Updated 3 years ago
• parkseobin / MLSR
  Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
  ☆66Updated last year
• zhoumumu / VapSR
  models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
  ☆73Updated 2 years ago
• njulj / AdaDM
  AdaDM: Enabling Normalization for Image Super-Resolution
  ☆60Updated 3 years ago
• onwn / C2N
  ☆38Updated 3 years ago
• csxmli2016 / ReDegNet
  From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution (ECCV 2022)
  ☆121Updated 2 years ago
• ofsoundof / IMDN
  ☆50Updated 2 years ago
• Zj-BinXia / ENLCA
  This project is official implementation of 'Efficient Non-Local Contrastive Attention for Image Super-Resolution', AAAI2022
  ☆87Updated last year
• yhjo09 / AdaTarget
  ☆30Updated 9 months ago
• zmzhang1998 / Real-RawVSR
  Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset (Real-RawVSR), ECCV 2022
  ☆56Updated last year
• hejingwenhejingwen / CResMD
  (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
  ☆95Updated 4 years ago
• YuanfeiHuang / TLSR
  codes for TLSR (TPAMI 2022)
  ☆13Updated last year
• TencentARC / RepSR
  Codes for "RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization"
  ☆76Updated 2 years ago
• ryanxingql / winner-ntire22-vqe
  Method and experience of winning the NTIRE'22 VQE challenge.
  ☆81Updated 2 years ago
• XPixelGroup / RDSR
  (CVPR2022) Reflash Dropout in Image Super-Resolution
  ☆80Updated 7 months ago
• Algolzw / EBSR
  Pytorch code for "EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment", CVPRW 2021, 1st NTIRE (real data track).
  ☆96Updated 2 years ago
• caojiezhang / DATSR
  PyTorch implementation of "Reference-based Image Super-Resolution with Deformable Attention Transformer (ECCV2022)"
  ☆145Updated 11 months 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