Implicit Grid Convolution for Multi-Scale Image Super-Resolution

For Image Super-Resolution (SR), it is common to train and evaluate scale-specific models composed of an encoder and upsampler for each targeted scale. Consequently, many SR studies encounter substantial training times and complex deployment requirements. In this paper, we address this limitation by...

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Hauptverfasser:	Lee, Dongheon, Yun, Seokju, Ro, Youngmin
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
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