A very lightweight and efficient image super-resolution network
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Mar 1, 2023 · In this paper, we propose a very lightweight and efficient image super-resolution network, called VLESR. ... Extensive experimental results have ...
Jun 15, 2024 · This paper proposes an efficient model (BCRN) based on BSConv and the ConvNeXt residual structure for single image super-resolution, which ...
Nov 30, 2018 · Abstract:Recently, several deep learning-based image super-resolution methods have been developed by stacking massive numbers of layers.
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Jun 18, 2024 · This paper proposes an efficient model (BCRN) based on BSConv and the ConvNeXt residual structure for single image super-resolution, which ...
Lightweight SISR networks with fewer parameters and smaller computational workloads are highly desirable. The key challenge is to obtain a better balance of ...
May 21, 2024 · A very lightweight image super-resolution network. Article Open ... MADNet: A fast and lightweight network for single-image super resolution.
This paper proposes a novel, lightweight, and efficient super-resolution method to maximize the usefulness of the recursive architecture, by introducing ...
Sep 28, 2022 · Deep convolutional neural networks significantly improve the performance of single image super-resolution (SISR). Generally, larger networks ...
Extreme Efficient-based SR. A very lightweight and efficient image super-resolution network (VLESR) is developed by Gao et al. [10] based on using a ...
A deep-learning pipeline, which combines the graph neural network with unsupervised pre-trained large language models (LLMs) to predict RNA-protein interactions ...