An RNN-based super-resolution model sequentially predicts Fourier components, letting users trade quality against computation at test time by choosing the number of components.
Wavelet domain style transfer for an effective perception-distortion tradeoff in single im- age super-resolution,
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Test-time Cost-and-Quality Controllable Arbitrary-Scale Super-Resolution with Variable Fourier Components
An RNN-based super-resolution model sequentially predicts Fourier components, letting users trade quality against computation at test time by choosing the number of components.