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Efficient Cost-and-Quality Controllable Arbitrary-scale Super-resolution with Fourier Constraints

2025-10-28 · Kazutoshi Akita, Norimichi Ukita arxiv

Cost-and-Quality (CQ) controllability in arbitrary-scale super-resolution is crucial. Existing methods predict Fourier components one by one using a recurrent neural network. However, this approach leads to performance degradation and inefficiency due to independent prediction. This paper proposes predicting multiple components jointly to improve both quality and efficiency.

📄 PDF Abstract BibTeX arXiv:2510.23978

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