A High-Quality Real Time Upscaler for Anime Video
-
Updated
Jan 30, 2023 - Jupyter Notebook
A High-Quality Real Time Upscaler for Anime Video
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
XAI - An eXplainability toolbox for machine learning
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates @ INTERSPEECH 2022
An AviSynth+ implementation of some Super-Resolution Convolutional Neural Networks.
Tensorflow implementation : U-net and FCN with global convolution
The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)
The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
Checkerboard rendering with Magnum and OpenGL
Code for "Unsharp Mask Guided Filtering, IEEE Transactions on Image Processing, 2021"
DeepLearningで音楽をアップサンプリングします
Implementation of Anime4K in Go.
An implementation of Anime4K in Python.
Anime4K implemented in C#
A PyTorch implementation of CARAFE based on ICCV 2019 paper “CARAFE: Content-Aware ReAssembly of FEatures”
Upsampling method for an input cloud using mls method of PCL
Easily run SqueezeLite with Alsa or PulseAudio output with Docker. Upsampling 2x 4x 8x with Goldilocks settings by Archimago
Various image filters and Guided Joint bilateral filter for guided image upsampling
Add a description, image, and links to the upsampling topic page so that developers can more easily learn about it.
To associate your repository with the upsampling topic, visit your repo's landing page and select "manage topics."