74 citations · 404 across the 46 of their papers we have counts for
6 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…
Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning
Bin-Cheng Yang, Gangshan Wu
Deep convolutional neural networks have been demonstrated to be effective for SISR in recent years. On the one hand, residual connections and dense connections have been used widel…
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…
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kai Zhang, Martin Danelljan, Yawei Li +75
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…