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When Fast Fourier Transform Meets Transformer for Image Restoration

Quality: 9/10 Relevance: 9/10

Summary

This article summarizes a ECCV 2024 paper introducing SFHformer, a framework that integrates Fast Fourier Transform with a Transformer for image restoration. It highlights the dual-domain architecture blending spatial detail with frequency-domain global context, frequency-aware coding, and extensive experiments across multiple restoration tasks, with open-source code and pretrained models available.

🚀 Service construit par Johan Denoyer