A High-Quality Real Time Upscaler for Anime Video
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Updated
Aug 17, 2024 - 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
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
Anime4K implemented in C#
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