Fourier-Guided Attention Upsampling for Image Super-Resolution

arXiv:2508.10616 · cs.CV, cs.AI · Submitted 2025-08-14 · Read on arXiv

cs.CV, cs.AI

Submitted: 2025-08-14

Updated: 2025-08-23

Comments: 15 pages, 7 figures, under submission to a journal

Journal ref: Image and Vision Computing, Vol. 172, pp. 106049, 2026

DOI: 10.1016/j.imavis.2026.106049

Project page: https://hpc-lab-koreatech.github.io/FGA-SR

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 23× in this paper · explained in 2 episodes
• AUC — 14× in this paper · explained in 2 episodes
• Fidelity — 14× in this paper · explained in 2 episodes
• Benchmark — 11× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 10× in this paper
• Guided attention — 8× in this paper · explained in 2 episodes
• Correlation Attention Layer — 7× in this paper
• Consistency — 5× in this paper · explained in 3 episodes
• Sub-Pixel Convolution — 5× in this paper
• Ablation — 4× in this paper · explained in 1 episode
• Aggregation — 4× in this paper · explained in 1 episode
• Computational overhead — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Attention Mechanism — 3× in this paper · explained in 3 episodes
• CVF International Conference on Computer Vision — 3× in this paper
• Multi-Layer Perceptron — 3× in this paper
• Wavelet Transform — 3× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• European Conference on Computer Vision — 2× in this paper
• Frequency-Guided Attention — 2× in this paper
• Transformer Architecture — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fourier Ring Correlation — 1× in this paper
• Generalization — 1× in this paper · explained in 13 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Overlapping Window Correlation Attention — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sparse Attention — 1× in this paper · explained in 5 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes
• U-net architecture — 1× in this paper · explained in 3 episodes

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