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A. Pawar

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Open access Aug 2026

PixelBoost 8 – Pixel Quality with 8X Highlights Boosting Enhancement

This work proposes a new GAN-based face hallucination method primarily based on the Enhanced Super-Resolution Generative Adversarial Network (ESRGAN), and presents a personalised adaptation of ESRGAN that employs the VGG16 architecture with a compact pre-trained version.

Sheetal S. Patil, A. Pawar, Nilofar Mulla et al. · 0 citations

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