DRN uses residual distilling blocks (RDB) and groups (RDG) to achieve a better performance to model size trade-off in single image super-resolution than existing methods.
Learning a deep convolutional network for image super-resolution,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Distilling with Residual Network for Single Image Super Resolution
DRN uses residual distilling blocks (RDB) and groups (RDG) to achieve a better performance to model size trade-off in single image super-resolution than existing methods.