A Novel Generative Adversarial Network-Based Super-Resolution Approach for Face Recognition

A U-Net-style GAN for 4x face super-resolution, with evaluation against nearest, bicubic, SR-GAN, AGA-GAN, and WIPA using PSNR, SSIM, FID, pixel distance, and face detection counts.

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Google Scholar profile: Shreyas Samir Kolte