nind-denoise
hifigan-denoiser
| nind-denoise | hifigan-denoiser | |
|---|---|---|
| 1 | 1 | |
| 23 | 188 | |
| - | - | |
| 2.1 | 0.0 | |
| 10 months ago | about 3 years ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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nind-denoise
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GIMP-ML Development
I am currently trying to improve the denoiser on https://github.com/trougnouf/nind-denoise with a modified U-Net and new data and I would like to add it to gimp before I switch development to a raw approach (beginning of pixel pipeline, ie a darktable module). I was considering G'MIC but maybe this is the way too :)
hifigan-denoiser
What are some alternatives?
BJDD_CVPR21 - This is the official implementation of Beyond Joint Demosaicking and Denoising from CVPRW21.
HyperGAN - Composable GAN framework with api and user interface
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
joliGEN - Generative AI Image Toolset with GANs and Diffusion for Real-World Applications
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
ilo - [ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
UniSpeech - UniSpeech - Large Scale Self-Supervised Learning for Speech
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.