QualityScaler is an AI video upscaler and local media processing tool designed to increase the resolution and visual quality of videos and images. It uses deep learning models to enhance detail and remove noise, operating as an offline application that executes all computations on local hardware.
The project functions as a GPU-accelerated media processor that distributes workloads across multiple graphics cards to increase rendering speed. To prevent memory overflow during high-resolution tasks, it employs a tiled image processing method that splits large assets into smaller sections.
The system includes a video frame interpolator to create smooth transitions between original and upscaled frames for improved visual clarity. It also features frame-level checkpointing to recover upscaling progress from the last successfully processed frame in the event of an interruption.