no code implementations • 22 Jan 2021 • Seobin Park, Tae Hyun Kim
We propose a new approach for the image super-resolution (SR) task that progressively restores a high-resolution (HR) image from an input low-resolution (LR) image on the basis of a neural ordinary differential equation.
1 code implementation • ECCV 2020 • Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
In the training stage, we train the network via meta-learning; thus, the network can quickly adapt to any input image at test time.