37 citations · 113 across the 20 of their papers we have counts for
4 papers · 1 filter
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution
Zongcai Du, Ding Liu, Jie Liu +3
Runtime and memory consumption are two important aspects for efficient image super-resolution (EISR) models to be deployed on resource-constrained devices. Recent advances in EISR…
AdaDM: Enabling Normalization for Image Super-Resolution
Jie Liu, Jie Tang, Gangshan Wu
Normalization like Batch Normalization (BN) is a milestone technique to normalize the distributions of intermediate layers in deep learning, enabling faster training and better gen…
Anchor-based Plain Net for Mobile Image Super-Resolution
Zongcai Du, Jie Liu, Jie Tang +1
Along with the rapid development of real-world applications, higher requirements on the accuracy and efficiency of image super-resolution (SR) are brought forward. Though existing…
Residual Feature Distillation Network for Lightweight Image Super-Resolution
Jie Liu, Jie Tang, Gangshan Wu
Recent advances in single image super-resolution (SISR) explored the power of convolutional neural network (CNN) to achieve a better performance. Despite the great success of CNN-b…