May 17, 2023 · The challenge is to find the optimal balance between network model complexity and SISR performance. In this paper, we propose a new lightweight ...
May 17, 2023 · (2) We propose a multi-path feature attention mechanism (FAM), which can adaptively weigh the multi-path feature channels to be concatenated, ...
In this paper, we aim to build more accurate and faster SISR models via developing better-performing feature extraction and fusion techniques. Firstly, we ...
People also ask
What is the difference between single image and multi image super-resolution?
What is single image super-resolution?
What is the super-resolution image technique?
What is blind image super-resolution?
Single image super-resolution (SISR) is a fundamental image ... image super-resolution based on multi-path progressive feature fusion and attention mechanism
May 3, 2024 · An efficient lightweight network for image denoising using progressive residual and convolutional attention feature fusion. Article Open ...
Missing: path | Show results with:path
A computation efficient yet accurate network based on the proposed attentive auxiliary features (A$^2$F) for SISR that outperforms SOTA methods for all ...
Feb 20, 2024 · Experimental results on large-scale dataset demonstrate the effectiveness of the proposed model against the state-of-the-art (SOTA) SR methods.
This paper proposes new lightweight Multi-scale Spatial Attention Networks (MSAN) for SISR, which attempt to bring out a better performance from the ...
Missing: path | Show results with:path
We propose a directional variance attention mechanism (DiVA), to enhance features in different channels and spatial regions. Such a mechanism allows the network ...