1 مستودع
Reduction of video frame resolution using kernels to simulate lower-quality inputs.
Distinct from Video Frame Processing: Specifically focuses on the resolution reduction process using Gaussian kernels, rather than general frame transformations or decoding.
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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
Implements video frame resolution reduction using configurable Gaussian kernels.