1 repo
Utilities for creating ground truth datasets for machine learning.
Distinguishing note: Focuses on data preparation rather than model execution.
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This project is a command-line tool designed for image super-resolution and noise reduction, with a primary focus on anime-style illustrations. It utilizes convolutional neural network inference to reconstruct missing pixel data and remove digital artifacts, allowing users to upscale images and reduce noise either independently or in a single simultaneous processing pass. Beyond its core image restoration capabilities, the software provides a comprehensive suite for machine learning model training. Users can prepare custom datasets and optimize neural networks for specific restoration tasks,
Prepares training datasets by generating image pairs with specific noise levels or scaling factors.