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Preconfigured set of MPV shaders and configurations for MPV Shim media clients.
A machine learning-based lossless video super resolution framework. Est. Hack the Valley II, 2018.
PyTorch implements "Accurate Image Super-Resolution Using Very Deep Convolutional Networks"
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)
This is an algorithm about how to get super-resolution image from a single image, which is described in the paper "Glasner, Bagon, Irani - 2009 - Super-resolution from a single image"
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Final project for the Computational Learning class of Univesity of Florence
Export utility for unconstrained channel pruned models
A powerful cross-platform raw photo processing program
Restoration of defocused and blurred photos/images
ILGPU JIT Compiler for high-performance .Net GPU programs
[CVPR2024] Official implementation of SODA-SR.
This is an image de-pixelation project done under Intel Unnati Industrial Training Campaign.
Sharp bilinear image resizing in linear color space with premultiplied alpha.
Algorithms for most-accurate upscaling image WITHOUT any neural networks!