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Loaders specifically for reading low-resolution and ground-truth video frames for evaluation.
Distinct from Video Frame Capture: Focuses on paired loading for evaluation rather than extracting frames from a stream
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BasicSR is a PyTorch-based image restoration toolbox and framework designed for training and deploying deep learning models to upscale, denoise, and deblur images and videos. It serves as a comprehensive system for image super-resolution and video quality restoration, providing the necessary infrastructure to recover fine visual details and increase pixel density. The project distinguishes itself through specialized toolkits for facial image enhancement and high-fidelity face synthesis, as well as a dedicated video quality restoration suite that utilizes deformable convolutions and generative
Provides utilities to read low-resolution video frames paired with ground-truth frames for evaluation.