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(Extended exploration for depth: Neural intricacies merit further unfurling. Residual networks cascade features, preserving micro-textures—vein traceries, epidermal folds—while attention mechanisms prioritize salient regions, enhancing focal clarity. Perceptual loss functions, rooted in VGG architectures, align outputs to human visual priors, banishing artifacts. Training pipelines, spanning petabytes, incorporate synthetic augmentations—varied illuminants, dynamic poses via SMPL models—ensuring robust generalization.
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