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A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.
PINNs get a boost: adaptive loss balancing and residual-based collocation cuts errors by up to 70% in stiff PDEs.
