SanKumSan

SanKumSan's Stars

• nothinglo/Deep-Photo-Enhancer

  TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs

  795110

• ShuhangGu/SGN_ICCV2019

  The code for my ICCV paper: Self-Guided Network for Fast Image Denoising.

  Language:Python519

• fepegar/torchio

  Medical imaging toolkit for deep learning

  Language:Python2.1k239

• caojiezhang/VSR-Transformer

  PyTorch implementation of VSR-Transformer

  Language:Python25228

• researchmm/TTSR

  [CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution

  Language:Python764115

• luissen/ESRT

  Language:Python16643

• SwinTransformer/Swin-Transformer-Object-Detection

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

  Language:Python1.8k379

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python14.1k2.1k

• caiyuanhao1998/PNGAN

  "Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)

  Language:Python13522

• goutamgmb/NTIRE21_BURSTSR

  Language:Python8715

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.6k8k

• saeed-anwar/RIDNet

  Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.

  Language:Python34057

• Araxeus/PNG-Upscale

  AI Super - Resolution

  Language:Java22325

• JingyunLiang/SwinIR

  SwinIR: Image Restoration Using Swin Transformer (official repository)

  Language:Python4.6k557

• xuxy09/RawSR

  Exploiting raw images for real-scene super-resolution, TPAMI 2021

  Language:Python547

• theotziol/Depth-images-Denoising

  Denoising depth images from real sense by mapping to conor10 laser

  Language:Python2

• cszn/IRCNN

  Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

  Language:MATLAB602172

• cszn/DPIR

  Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

  Language:Python663101

• swz30/CycleISP

  [CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

  Language:Python51574

• yjn870/REDNet-pytorch

  PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)

  Language:Python9734

• limbee/NTIRE2017

  Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

  Language:Lua657145

• gandalf1819/Denoise-Noisy-Docs

  Removal of stains from noisy docs using image processing, machine learning, neural nets and autoencoder

  Language:Jupyter Notebook2611

• replicate/cog

  Containers for machine learning

  Language:Python8.2k570

• cszn/SCUNet

  Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)

  Language:Python66969

• alex04072000/SingleHDR

  [CVPR 2020] Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline

  Language:Python55291

• shadyabh/Correction-Filter

  Language:Python768

• google-research/kubric

  A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

  Language:Jupyter Notebook2.4k235

• msmsajjadi/EnhanceNet-Code

  EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

  Language:Python16644

• cszn/BSRGAN

  Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

  Language:Python1.2k183

• acecreamu/deep-hs-prior

  Single Hyperspectral Image Denoising, Inpainting, Super-Resolution

  Language:Jupyter Notebook13039