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

Kazutoshi Akita, Norimichi Ukita
10/28/2025
cs.CV

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Abstract

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.

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Cite this paper

@article{akita2025efficient,
  title  = {Efficient Cost-and-Quality Controllable Arbitrary-scale Super-resolution with Fourier Constraints},
  author = {Kazutoshi Akita and Norimichi Ukita},
  year   = {2025},
  eprint = {2510.23978},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2510.23978v1}
}

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