RealSR-NCNN-Android icon
RealSR-NCNN-Android icon

RealSR-NCNN-Android

An Android application for super-resolution & interpolation. Contains RealSR-NCNN, SRMD-NCNN, RealCUGAN-NCNN, Real-ESRGAN-NCNN, Waifu2x-NCNN, Anime4kcpp, nearest, bilinear, bicubic, AVIR...

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Cost / License

  • Free
  • Open Source

Application type

Platforms

  • Android
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Properties

  1.  Privacy focused

Features

  1.  No registration required
  2.  Works Offline
  3.  Ad-free
  4.  Image Processing
  5.  Image Upscaling

 Tags

  • lanczos
  • local-ai
  • realsr
  • super-resolution
  • anime4k
  • real-esrgan
  • waifu2x
  • Android
  • mnn
  • real-cugan
  • srmd
  • ncnn

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RealSR-NCNN-Android information

  • Developed by

    CN flagtumuyan

  • Licensing

    Open Source and Free product.

  • Written in

  • Alternatives

    11 alternatives listed

  • Supported Languages

    • English

AlternativeTo Category

Photos & Graphics

GitHub repository

  •  1,778 Stars
  •  125 Forks
  •  29 Open Issues
  •   Updated  
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RealSR-NCNN-Android was added to AlternativeTo by Jenny on and this page was last updated .
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What is RealSR-NCNN-Android?

RealSR-NCNN-Android is a simple Android application that based on Waifu2x-NCNN, SRMD-NCNN, RealCUGAN-NCNN, RealSR-NCNN, Real-ESRGAN, Anime4KCPP. The application does not collect any private information from your device

This repository contains 3 project:

  1. RealSR-NCNN-Android-CLI can build programs that can be used by the console (for example, Termux) for Android.It contains 7 modules (Anime4k, MNN-SR RealSR, RealCUGAN, SRMD, Waifu2x and Resize)

• The RealSR program could use realsr models and real-esrgan models with ncnn format. • The MNN-SR program could use mnn format models. • The Resize program contains classical interpolation mode nearest bilinear bicubic and avir lancir.

  1. RealSR-NCNN-Android-GUI can build a APK (has a GUI and easy to use). Actually it is a shell for the programs build from RealSR-NCNN-Android-CLI.

  2. Resize-CLI just a demo like the Resize-NCNN-Android-CLI, but it not need ncnn and could build by VS.

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