Alternatives and similar repositories for noise_flow:

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

• arcchang1236 / CA-NoiseGAN
  The official implementation of our ECCV 2020 paper "Learning Camera-Aware Noise Models".
  ☆73Updated 4 years ago
• YuvalBahat / Explorable-Super-Resolution
  ☆63Updated 2 years ago
• majedelhelou / SFM
  (ECCV 2020) Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
  ☆152Updated 3 years ago
• andreas128 / NTIRE21_Learning_SR_Space
  CVPR 2021 Challenge on Super-Resolution Space
  ☆104Updated 3 years ago
• goutamgmb / NTIRE21_BURSTSR
  ☆90Updated last year
• 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
• 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
  ☆135Updated 4 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆148Updated 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
• chaoma99 / sr-metric
  Learning a No-Reference Quality Metric for Single-Image Super-Rolution
  ☆132Updated 3 years ago
• shadyabh / Correction-Filter
  ☆76Updated 3 years ago
• cig-skoltech / deep_demosaick
  Iterative Residual Network for Deep Joint Image Demosaicking and Denoising
  ☆96Updated 6 years ago
• assafshocher / BlindSR_dataset_generator
  Downscale a set of images by randomly created kernels and save them
  ☆76Updated 3 years ago
• SonghyunYu / DIDN
  Pytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".
  ☆71Updated 5 years ago
• sanghyun-son / bicubic_pytorch
  A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.
  ☆138Updated 4 years ago
• cao-cong / RViDeNet
  Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes. CVPR 2020
  ☆208Updated 10 months ago
• hejingwenhejingwen / CResMD
  (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
  ☆95Updated 4 years ago
• njulj / RFANet
  Residual Feature Aggregation Network for Image Super-Resolution
  ☆104Updated 4 years ago
• 12dmodel / camera_sim
  ☆72Updated 2 years ago
• aasharma90 / UnprocessDenoising_PyTorch
  Unofficial PyTorch code for the paper - Unprocessing Images for Learned Raw Denoising, CVPR'19
  ☆177Updated 4 years ago
• Wenchao-Du / LIR-for-Unsupervised-IR
  This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"
  ☆100Updated 4 years ago
• terryoo / AINDNet
  Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)
  ☆80Updated 5 years ago
• likesum / bpn
  ☆30Updated 3 years ago
• sooyekim / Deep-SR-ITM
  Official repository of Deep SR-ITM (oral at ICCV 2019)
  ☆101Updated 2 years ago
• JimmyChame / SADNet
  Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"
  ☆131Updated 2 years ago
• Yang-Liu1082 / InvDN
  Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).
  ☆188Updated 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 3 years ago
• ShuhangGu / DASR
  Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"
  ☆236Updated 3 years ago
• AbdoKamel / sidd-ground-truth-image-estimation
  Ground truth image estimation used for the Smartphone Image Denoising Dataset (SIDD)
  ☆86Updated 5 years ago