Alternatives and similar repositories for noise_flow

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

• andreas128 / NTIRE21_Learning_SR_Space
  CVPR 2021 Challenge on Super-Resolution Space
  ☆105Updated 3 years ago
• YuvalBahat / Explorable-Super-Resolution
  ☆63Updated 3 years ago
• chaoma99 / sr-metric
  Learning a No-Reference Quality Metric for Single-Image Super-Rolution
  ☆132Updated 3 years ago
• arcchang1236 / CA-NoiseGAN
  The official implementation of our ECCV 2020 paper "Learning Camera-Aware Noise Models".
  ☆75Updated 4 years ago
• goutamgmb / NTIRE21_BURSTSR
  ☆90Updated last year
• majedelhelou / SFM
  (ECCV 2020) Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
  ☆152Updated 3 years ago
• SonghyunYu / DIDN
  Pytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".
  ☆72Updated 5 years ago
• assafshocher / BlindSR_dataset_generator
  Downscale a set of images by randomly created kernels and save them
  ☆77Updated 4 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆147Updated 3 years ago
• volflow / DeFlow
  Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
  ☆93Updated 2 years ago
• sanghyun-son / bicubic_pytorch
  A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.
  ☆141Updated 4 years ago
• thomas-koehler / SupER
  Super-Resolution Erlangen (SupER): Benchmarking Super-Resolution Algorithms on Real Data
  ☆80Updated 5 years ago
• XHWXD / DBSN
  Unpaired Learning of Deep Image Denoising
  ☆139Updated 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…
  ☆166Updated 5 years ago
• hejingwenhejingwen / CResMD
  (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
  ☆96Updated 4 years ago
• sooyekim / Deep-SR-ITM
  Official repository of Deep SR-ITM (oral at ICCV 2019)
  ☆103Updated 3 years ago
• 12dmodel / camera_sim
  ☆72Updated 2 years ago
• zsyOAOA / VDNet
  Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)
  ☆218Updated 4 years ago
• shadyabh / Correction-Filter
  ☆76Updated 4 years ago
• ShuhangGu / DASR
  Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"
  ☆239Updated 3 years ago
• Alan-xw / RealSR
  [Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)
  ☆83Updated 4 years ago
• Holmes-Alan / dSRVAE
  Unsupervised Real Image Super-Resolution via Variational AutoEncoder in CVPR2020
  ☆118Updated 2 years ago
• Wenchao-Du / LIR-for-Unsupervised-IR
  This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"
  ☆101Updated 5 years ago
• sefibk / KernelGAN
  ☆350Updated 3 years ago
• zsyOAOA / DANet
  Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation (ECCV 2020) (Pytorch)
  ☆183Updated 4 years ago
• yzhouas / PD-Denoising-pytorch
  Code of 'when AWGN-based Denoiser Meets Real Noises'
  ☆166Updated 4 years ago
• cindydeng1991 / Wavelet-Domain-Style-Transfer-for-an-Effective-Perception-distortion-Tradeoff-in-Single-Image-Super-
  ICCV 2019 oral presentation
  ☆44Updated 5 years ago
• njulj / RFANet
  Residual Feature Aggregation Network for Image Super-Resolution
  ☆104Updated 4 years ago
• AbdoKamel / sidd-ground-truth-image-estimation
  Ground truth image estimation used for the Smartphone Image Denoising Dataset (SIDD)
  ☆88Updated 5 years ago
• junpan19 / VSR_TGA
  code for paper "Video Super-resolution with Temporal Group Attention"
  ☆126Updated 4 years ago