Alternatives and similar repositories for MetaF2N

Users that are interested in MetaF2N are comparing it to the libraries listed below

• csxmli2016 / ReDegNet
  From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution (ECCV 2022)
  ☆124Updated 2 years ago
• XPixelGroup / SEAL
  ICLR 2024 (Spotlight) - SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
  ☆53Updated last year
• jnjaby / AlignFormer
  Official implementation of "Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera"
  ☆53Updated 3 months ago
• ZcsrenlongZ / RBSR
  [PRCV 2023] RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution
  ☆47Updated 11 months ago
• yangxy / synthesizing_realistic_training_pairs
  ☆25Updated 2 years ago
• wdmwhh / MRefSR
  LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution
  ☆42Updated last year
• Weepingchestnut / SAVSR
  SAVSR: Arbitrary-Scale Video Super-Resolution via A Learned Scale-Adaptive Architecture (AAAI'2024)
  ☆34Updated last year
• TencentARC / FastRealVSR
  Codes for "Mitigating Artifacts in Real-World Video Super-Resolution Models"
  ☆59Updated 2 years ago
• hmin970922 / CLIPtone
  ☆28Updated last year
• seungho-snu / SROOE
  Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation
  ☆64Updated 2 years ago
• jkpark0825 / CAL_GAN
  ☆17Updated last year
• W-JG / Hero-SR
  Official implementation of the paper "Hero-SR: One-Step Diffusion for Super-Resolution with Human Perception Priors".
  ☆35Updated 5 months ago
• TencentARC / DeSRA
  Official codes for DeSRA (ICML 2023)
  ☆136Updated last year
• megvii-research / D2C-SR
  Official MegEngine implementation of ECCV2022 "D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution".
  ☆45Updated 2 years ago
• eth-siplab / RAP
  Restore Anything Pipeline (RAP): Segment Anything Meets Image Restoration
  ☆71Updated 2 years ago
• ChrisDud0257 / HGGT
  Official Code for our CVPR2023 paper "Human Guided Ground-truth Generation for Realistic Image Super-resolution"
  ☆130Updated last year
• ztMotaLee / Sagiri
  Official implementation of our paper "Sagiri: LDR image enhancement by Generation".
  ☆21Updated 2 months ago
• ChrisDud0257 / SSL
  Official code for our Paper "SSL: A Self-similarity Loss for Improving Generative Image Super-resolution" in ACMMM 2024
  ☆47Updated 3 months ago
• cszhilu1998 / SelfDZSR
  [ECCV 2022] Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
  ☆74Updated last year
• researchmm / VQD-SR
  [ICCV'23] VQD-SR: Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution
  ☆44Updated last year
• littleYaang / HQ-50K
  HQ-50K: A Large-scale, High-quality Dataset for Image Restoration
  ☆84Updated last year
• ofsoundof / LSDIR
  ☆73Updated 8 months ago
• rimchang / RSBlur
  Repository for Realistic Blur Synthesis for Learning Image Deblurring
  ☆102Updated 5 months ago
• Kaldwin0106 / DR2_Drgradation_Remover
  DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration. CVPR 2023.
  ☆99Updated 2 years ago
• csmliu / AdaNEC
  ☆22Updated 3 years ago
• JianzeLi-114 / D3SR
  ☆76Updated 3 months ago
• House-Leo / CFDVSR
  Collaborative Feedback Discriminative Propagation for Video Super-Resolution
  ☆43Updated last year
• mrluin / UniRestorer
  [arXiv 2024] PyTorch implementation of UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Gra…
  ☆26Updated 7 months ago
• XPixelGroup / CloserLookBlindSR
  Paper accepted by CVPR Workshop, NTIRE 2022
  ☆29Updated last year
• XPixelGroup / TGSR
  NeurIPS 2023 - Real-world super-resolution as multi-task learning
  ☆23Updated last year