noise2noise

There are 10 repositories under noise2noise topic.

  • yu4u/noise2noise

    An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

    Language:Python1.1k4550235

  • madhavmk/Noise2Noise-audio_denoising_without_clean_training_data

    Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.

    Language:Jupyter Notebook1727742

  • shivamsaboo17/Deep-Restore-PyTorch

    Deep CNN for learning image restoration without clean data!

    Language:Jupyter Notebook65639

  • ZhenyuTan/Noise2Noise-Cryo-EM-image-denoising

    pytorch implementation of noise2noise for Cryo-EM image denoising

    Language:Python404313

  • hanyoseob/pytorch-noise2noise

    Noise2Noise: Learning Image Restoration without Clean Data

    Language:Python13315

  • johnPertoft/noise2noise

    Noise2Noise implementation

    Language:Python3241

  • MPI-Dortmund/sphire-janni

    Just another noise 2 noise implementation (JANNI) with Keras

    Language:Jupyter Notebook3423
  • Noise2Noise-Lite-two-ligther-versions-of-the-famous-AI-denoiser-for-small-images

    EliaFantini/Noise2Noise-Lite-two-ligther-versions-of-the-famous-AI-denoiser-for-small-images

    Noise2Noise is an AI denoiser trained with noisy images only. We implemented a ligther version which trains faster on smaller pictures without losing performance and an even simpler one where every low-level component was implemented from scratch, including a reimplementation of autograd.

    Language:Jupyter Notebook1000

  • PINTO0309/noise2noise

    An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data" (AI can now fix your grainy photos by only looking at grainy photos. Noise2Noise)

    Language:Python130

  • the-pinbo/image-denoising

    The standard approach to image reconstruction using deep learning is to use clean image priors for training purposes. In this project, we attempt to achieve denoising without using a clean image prior and yet, achieving a performance comparable to, or sometimes, even better than that obtained using the conventional approach.

    Language:Jupyter Notebook0200