Topic: "noise2noise"
yu4u/noise2noise
An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"
Language: Python - Size: 9.14 MB - Last synced at: 11 days ago - Pushed at: over 3 years ago - Stars: 1,086 - Forks: 236
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 Notebook - Size: 348 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 125 - Forks: 37
shivamsaboo17/Deep-Restore-PyTorch
Deep CNN for learning image restoration without clean data!
Language: Jupyter Notebook - Size: 37.8 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 61 - Forks: 9
hanyoseob/pytorch-noise2noise
Noise2Noise: Learning Image Restoration without Clean Data
Language: Python - Size: 27.3 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 11 - Forks: 4
MPI-Dortmund/sphire-janni
Just another noise 2 noise implementation (JANNI) with Keras
Language: Jupyter Notebook - Size: 6.88 MB - Last synced at: 6 days ago - Pushed at: 9 months ago - Stars: 3 - Forks: 3
johnPertoft/noise2noise
Noise2Noise implementation
Language: Python - Size: 4.33 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1
EliaFantini/Noise2Noise-Lite-two-ligther-versions-of-the-famous-AI-denoiser-for-small-images Fork of KieranVaudaux/DeepLearning
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 Notebook - Size: 10.6 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
PINTO0309/noise2noise Fork of yu4u/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: Python - Size: 89.6 MB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0
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 Notebook - Size: 76.9 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
