swinir

There are 15 repositories under swinir topic.

  • BasicSR

    XPixelGroup/BasicSR

    Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

    Language:Python6.3k945401.1k
  • dalle-flow

    jina-ai/dalle-flow

    🌊 A Human-in-the-Loop workflow for creating HD images from text

    Language:Python2.8k5589208

  • cszn/KAIR

    Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

    Language:Python2.8k45160606

  • mv-lab/swin2sr

    [ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr

    Language:Python54112062

  • mafiosnik777/enhancr

    Video Frame Interpolation & Super Resolution using NVIDIA's TensorRT & Tencent's NCNN inference, beautifully crafted and packaged into a single app

    Language:JavaScript523142828

  • Phhofm/upscale

    My VitePress website I made to visually compare the output I created with over 600 different AI upscaling models. Running under https://phhofm.github.io/upscale/

    Language:JavaScript37214

  • HemantKArya/HqStableDiffusionColab

    A High Quality (HD / 2K / 4K) Image Generation Using Stable Diffusion and Real-ESR / SwinIR /GFPGAN

    Language:Jupyter Notebook28314

  • Bubblemint864/AI-Models

    A repository of models trained by me!

    26430

  • dr413677671/SuperVideoSR-video-super-resolution-webapp

    Language:Python17201

  • HolyWu/vs-swinir

    SwinIR function for VapourSynth

    Language:Python17340

  • Rypo/min-3-flow

    A multistage text to image framework. Built from a inference-reduced set of min-dalle, glid-3-xl, and SwinIR.

    Language:Jupyter Notebook6100

  • sekilab/WindSR_Dataset

    WindSR Dataset contains more than 22,000 pairs of HR/LR wind speed images, which are processed using the NASA's GEOS-5 Nature Run dataset. This dataset is useful for studying super-resolution for data collected using satellites rather natural RGB images.

    6700

  • astroclubiitk/Inter-IIT-Tech-Meet-2023

    Analysis resources for the Inter IIT Tech Meet 11.0 problem statement by ISRO: The Chandrayaan Moon Mapping Challenge

    Language:Python3000

  • novwaul/SwinCIR

    Proposed model on Individual Study (Lab. Intern)

    Language:Python0110

  • novwaul/SwinIR

    Reimplementation of SwinIR

    Language:Python0100