TL;DR
A lightweight dual-dimension modulation aggregation network, which combines channel-wise and spatial feature interactions to achieve more accurate reconstruction, and shows that DMANet achieves competitive reconstruction performance with lower model complexity and runtime overhead.
This work proposes a lightweight dual-domain attention aggregation network (LDANet), aiming to achieve image super-resolution with both high efficiency and high quality, and proposes the pixel-embedding channel attention module, which achieves cross-channel global context awareness by jointly modeling pixel-level spati...
This work designs a multi-scale feature modulation enhancement unit (MFMEU) to capture cross-scale spatial features and a frequency-domain cross-correlation patch modulation unit (FCPMU) to explore global feature representations and develops an efficient bidirectional cross modulation unit (BCMU) to promote feature int...
An efficient aligned kernel network (AKNet) is proposed, which innovatively employs super-large convolution kernels to capture global receptive fields with minimal computational overhead, effectively mimicking the long-range dependency modeling of transformers.
A Lightweight Transformer-Fourier Fusion Framework for Efficient Image Super-Resolution, designed to integrate the long-range dependency modeling capability of transformers with the frequency-domain representation advantages of Fourier-based feature processing.
Findings indicate that wavelet-guided subband processing is compatible with HMA and that WSB provides the more computationally economical extension, but because the standard-dataset evaluation is based on selected images and a complete component-level ablation is not available, the results should be interpreted as prel...
It is observed that sparsification changes what it means to improve such a network, and a dual-branch spatial enhancement on the input of a progressive focused attention with a wavelet-domain modulation on its output is tested, forming SFMformer, which ranks first on 28 of 30 PSNR/SSIM entries across five benchmarks an...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
