True IMGSRRO is not about maximizing one metric in a vacuum. It is about the entire pipeline for the real world: training efficiency, inference latency, memory footprint, and visual quality as perceived by humans or downstream tasks.
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Many SR methods are computationally intensive and not practical for real-time applications or on low-power devices.
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Generative adversarial network for perceptual quality. Optimization: Use of not just adversarial loss to avoid artifacts.
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