Introduction of Differential Wavelet Amplifier (DWA): a novel module that leverages the difference between two convolutional filters horizontally and vertically in a wavelet-based image representation, which is applicable as drop-in addition in existing network architectures.
Jul 10, 2023 · Abstract: This work introduces Differential Wavelet Amplifier (DWA), a drop-in module for wavelet-based image Super-Resolution (SR).
Our proposed DWA model improves wavelet-based SR models by leveraging the difference between two convolutional filters to refine relevant feature extraction in ...
View recent discussion. Abstract: This work introduces Differential Wavelet Amplifier (DWA), a drop-in module for wavelet-based image Super-Resolution (SR).
Sep 26, 2023 · This work introduces Differential Wavelet Amplifier (DWA), a drop-in module for wavelet-based image Super-Resolution (SR).
Our proposed DWA model improves wavelet-based SR models by leveraging the difference between two convolutional filters to refine relevant feature extraction in ...
Our proposed DWA model improves wavelet-based SR models by leveraging the difference between two convolutional filters to refine relevant feature extraction in ...
Apr 4, 2023 · This paper presents a novel Diffusion-Wavelet (DiWa) approach for Single-Image Super-Resolution (SISR). It leverages the strengths of ...
DWA: Differential Wavelet Amplifier for Image Super-Resolution. BB Moser, S Frolov, F Raue, S Palacio, A Dengel. International Conference on Artificial Neural ...
Jun 23, 2024 · This paper aims to provide a comprehensive overview of these advancements by exploring key methods such as the application of diffusion models, wavelet ...