Alternatives and similar repositories for hdrnet-pytorch

Users that are interested in hdrnet-pytorch are comparing it to the libraries listed below

• cao-cong / RViDeNet
  Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes. CVPR 2020
  ☆223Updated last year
• aasharma90 / UnprocessDenoising_PyTorch
  Unofficial PyTorch code for the paper - Unprocessing Images for Learned Raw Denoising, CVPR'19
  ☆185Updated 4 years ago
• timothybrooks / unprocessing
  ☆236Updated 3 years ago
• chxy95 / HDRUNet
  CVPR2021 Workshop - HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization.
  ☆187Updated 3 years ago
• sjmoran / deeplpf-image-enhancement
  Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"
  ☆257Updated last year
• guochengqian / TENet
  [ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline
  ☆299Updated 2 years ago
• xiezw5 / Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution
  ☆201Updated 5 years ago
• Jiaming-Liu / BayerUnifyAug
  Python toolbox for Bayer Raw image unification and augmentation
  ☆96Updated 5 years ago
• MegEngine / PMRID
  ECCV2020 - Practical Deep Raw Image Denoising on Mobile Devices
  ☆259Updated 2 years ago
• Baymax-chen / EMVD
  Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion. CVPR_2021.
  ☆141Updated 4 years ago
• swz30 / CycleISP
  [CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis
  ☆558Updated last year
• gejinchen / HDRnet-PyTorch
  A PyTorch implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement'
  ☆47Updated 2 years ago
• njulj / RFDN
  Residual Feature Distillation Network for Lightweight Image Super-Resolution
  ☆386Updated last year
• ShuhangGu / DASR
  Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"
  ☆241Updated 4 years ago
• JimmyChame / The-State-of-the-Art-in-HDR-Deghosting
  ☆157Updated 7 months ago
• daooshee / Image-Processing-Datasets
  ☆123Updated 7 years ago
• AbdoKamel / sidd-ground-truth-image-estimation
  Ground truth image estimation used for the Smartphone Image Denoising Dataset (SIDD)
  ☆92Updated 6 years ago
• lavi135246 / pytorch-Learning-to-See-in-the-Dark
  Learning to See in the Dark using PyTorch >= 1.0.0
  ☆161Updated 5 years ago
• goutamgmb / NTIRE21_BURSTSR
  ☆93Updated 2 years ago
• hermosayhl / DeepUPE_pytorch
  unofficial inplementation of paper Underexposed Photo Enhancement using Deep Illumination Estimation(2019 CVPR)
  ☆95Updated 4 years ago
• csjcai / SICE
  Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (TIP 2018)
  ☆335Updated 6 years ago
• liuzhen03 / ADNet
  Pytorch implementation of ADNet. (The winning method of the first edition of NTIRE2021 Multi-Frame HDR Challenge)
  ☆85Updated 4 years ago
• csbhr / CDVD-TSP
  The repository is an official implementation of our CVPR2020 paper : Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
  ☆265Updated 4 years ago
• chxy95 / HDRTVNet
  TMM:Toward Efficient SDRTV-to-HDRTV by Learning from Image Formation ICCV2021: A New Journey from SDRTV to HDRTV
  ☆145Updated 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 3 years ago
• chaoma99 / sr-metric
  Learning a No-Reference Quality Metric for Single-Image Super-Rolution
  ☆131Updated 4 years ago
• qingsenyangit / AHDRNet
  Attention-guided Network for Ghost-free High Dynamic Range Imaging
  ☆143Updated 3 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…
  ☆181Updated 3 years ago
• flyywh / CVPR-2020-Semi-Low-Light
  ☆167Updated 3 years ago
• HongguangZhang / DMPHN-cvpr19-master
  Pytorch Implementation of CVPR19 "Deep Stacked Multi-patch Hierarchical Network for Image Deblurring"
  ☆200Updated 2 years ago