Alternatives and similar repositories for ERQA

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

• IndigoPurple / EFENet
  EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
  ☆25Updated 2 years ago
• kynthesis / StarSRGAN
  Official PyTorch Implementation of "StarSRGAN: Improving Real-World Blind Super-Resolution" (WSCG 2023)
  ☆53Updated last year
• TencentARC / FastRealVSR
  Codes for "Mitigating Artifacts in Real-World Video Super-Resolution Models"
  ☆59Updated 2 years ago
• geopi1 / Improved_USRNet
  Blind Super Resolution based on USRNet and Kernel GAN
  ☆16Updated 5 years ago
• ryanxingql / winner-ntire22-vqe
  Method and experience of winning the NTIRE'22 VQE challenge.
  ☆82Updated 2 years ago
• ryanxingql / powervqe
  Empower the quality enhancement approaches for compressed videos.
  ☆36Updated last year
• researchmm / CKDN
  [ICCV'21] CKDN: Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
  ☆59Updated 3 years ago
• RenYang-home / NTIRE21_VEnh
  ☆72Updated 2 years ago
• BCV-Uniandes / RSR
  This is the official implementation of the paper: Generalized Real-World Super-Resolution through Adversarial Robustness.
  ☆16Updated 3 years ago
• um-dsrg / RUMpy
  Open source image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art deep learni…
  ☆29Updated 2 years ago
• zudi-lin / rcan-it
  Revisiting RCAN: Improved Training for Image Super-Resolution
  ☆96Updated 3 years ago
• vztu / MAXIM
  [CVPR 2022] Unofficial repository for "MAXIM: Multi-Axis MLP for Image Processing". Official repo: https://github.com/google-research/max…
  ☆20Updated 3 years ago
• yujiwen / BSRGAN_implementation
  ☆66Updated 4 years ago
• TencentARC / FAIG
  NeurIPS 2021, Spotlight, Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
  ☆119Updated 3 years ago
• abhijithpunnappurath / a-little-bit-more
  ☆23Updated 3 years ago
• researchmm / VQD-SR
  [ICCV'23] VQD-SR: Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution
  ☆46Updated last year
• guanghaoyin / CVRKD-IQA
  Pytorch code for our AAAI2022 Oral paper "Content-Variant Reference Image Quality Assessment via Knowledge Distillation"
  ☆57Updated 3 years ago
• ryanxingql / powerqe
  Empower the quality enhancement approaches for compressed images/videos.
  ☆57Updated 11 months ago
• TencentARC / RepSR
  Codes for "RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization"
  ☆76Updated 3 years ago
• hjSim / KOALAnet
  Official repository of KOALAnet (CVPR, 2021)
  ☆38Updated 3 years ago
• lpj0 / CBSR
  Learning Cascaded Convolutional Networks for Blind Single Image Super-Resolution
  ☆21Updated 5 years ago
• JaeYeonKang / STVUN-Pytorch
  Deep Space-Time Video Upsampling Networks
  ☆49Updated 5 years ago
• saikatdutta / FMU_STSR
  Efficient Space-time Super Resolution using Flow and Mask Upsampling
  ☆10Updated 4 years ago
• manricheon / IQT
  ☆16Updated 3 years ago
• ychfan / wdvr_ntire2019
  Wide-activated 3D Convolutional Network for Video Restoration
  ☆14Updated 6 years ago
• BIOINSu / LGFN
  Local-Global Fusion Network for Video Super-Resolution
  ☆15Updated 5 years ago
• shuntama / srdd
  ☆30Updated 3 years ago
• littleYaang / HQ-50K
  HQ-50K: A Large-scale, High-quality Dataset for Image Restoration
  ☆86Updated last year
• VDIGPKU / QGCN
  Learning a Single Model With a Wide Range of Quality Factors for JPEG Image Artifacts Removal (TIP 2020)
  ☆38Updated 4 years ago
• littlepure2333 / SamplingAug
  SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution (BMVC2021)
  ☆39Updated 3 years ago