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

GUI application for Anime4K shaders which allows to save upscaled video to disk

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

Easily run SqueezeLite with Alsa or PulseAudio output with Docker. Bluetooth support. Upsampling 2x 4x 8x with "Goldilocks" settings by Archimago

Code for "Unsharp Mask Guided Filtering, IEEE Transactions on Image Processing, 2021"

Upsampling method for an input cloud using mls method of PCL

Video player with the function of improving the quality of the hand-drawn image using the high-performance scaling algorithm of Anime4K

Easily run mpd with Alsa or PulseAudio output with Docker. Upsampling 2x 4x 8x with "Goldilocks" settings by Archimago. Scrobbling support.

Implementation of Anime4K in Go.

DeepLearningで音楽をアップサンプリングします

hq2x scaling algorithm updated to support RGBA

A PyTorch implementation of CARAFE based on ICCV 2019 paper “CARAFE: Content-Aware ReAssembly of FEatures”