Alternatives and similar repositories for RViDeNet:

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

• aasharma90 / UnprocessDenoising_PyTorch
  Unofficial PyTorch code for the paper - Unprocessing Images for Learned Raw Denoising, CVPR'19
  ☆176Updated 4 years ago
• Baymax-chen / EMVD
  Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion. CVPR_2021.
  ☆129Updated 3 years ago
• guochengqian / TENet
  [ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline
  ☆292Updated last year
• Jiaming-Liu / BayerUnifyAug
  Python toolbox for Bayer Raw image unification and augmentation
  ☆96Updated 5 years ago
• JimmyChame / SADNet
  Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"
  ☆130Updated 2 years ago
• chxy95 / HDRUNet
  CVPR2021 Workshop - HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization.
  ☆162Updated 2 years ago
• JimmyChame / The-State-of-the-Art-in-HDR-Deghosting
  ☆146Updated 2 years ago
• chaoma99 / sr-metric
  Learning a No-Reference Quality Metric for Single-Image Super-Rolution
  ☆132Updated 3 years ago
• timothybrooks / unprocessing
  ☆208Updated 2 years 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
• AbdoKamel / sidd-ground-truth-image-estimation
  Ground truth image estimation used for the Smartphone Image Denoising Dataset (SIDD)
  ☆86Updated 5 years ago
• xiezw5 / Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution
  ☆193Updated 4 years ago
• goutamgmb / NTIRE21_BURSTSR
  ☆89Updated last year
• Alan-xw / RealSR
  [Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)
  ☆82Updated 3 years ago
• psychopa4 / PFNL
  Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations
  ☆141Updated 3 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆148Updated 3 years ago
• MegEngine / PMRID
  ECCV2020 - Practical Deep Raw Image Denoising on Mobile Devices
  ☆235Updated last year
• cig-skoltech / deep_demosaick
  Iterative Residual Network for Deep Joint Image Demosaicking and Denoising
  ☆96Updated 6 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…
  ☆165Updated 4 years ago
• ShuhangGu / DASR
  Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"
  ☆237Updated 3 years ago
• HongguangZhang / DMPHN-cvpr19-master
  Pytorch Implementation of CVPR19 "Deep Stacked Multi-patch Hierarchical Network for Image Deblurring"
  ☆194Updated 2 years ago
• liv-group / reproducible-video-denoising-state-of-the-art
  Collection of popular and reproducible video denoising works.
  ☆122Updated 5 years ago
• XHWXD / DBSN
  Unpaired Learning of Deep Image Denoising
  ☆135Updated 4 years ago
• thomas-koehler / SupER
  Super-Resolution Erlangen (SupER): Benchmarking Super-Resolution Algorithms on Real Data
  ☆79Updated 5 years ago
• z-bingo / kernel-prediction-networks-PyTorch
  Reimplement of 'Burst Denoising with Kernel Prediction Networks' and 'Multi-Kernel Prediction Networks for Denoising of Image Burst' by u…
  ☆175Updated 2 years ago
• zhangyi-3 / Noise-Synthesis
  Rethinking Noise Synthesis and Modeling in Raw Denoising (ICCV2021)
  ☆128Updated 3 years ago
• m-tassano / dvdnet
  DVDnet: A Simple and Fast Network for Deep Video Denoising
  ☆83Updated 3 years ago
• yuanjunchai / IKC
  Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)
  ☆219Updated 5 years ago
• Coldog2333 / pytoflow
  The py version of toflow → https://github.com/anchen1011/toflow
  ☆109Updated 4 years ago
• junpan19 / VSR_TGA
  code for paper "Video Super-resolution with Temporal Group Attention"
  ☆126Updated 4 years ago