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Dynamic Attention-Guided Diffusion for Image Super-Resolution
March 11, 2024, 4:45 a.m. | Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
cs.CV updates on arXiv.org arxiv.org
Abstract: Diffusion models in image Super-Resolution (SR) treat all image regions with uniform intensity, which risks compromising the overall image quality. To address this, we introduce "You Only Diffuse Areas" (YODA), a dynamic attention-guided diffusion method for image SR. YODA selectively focuses on spatial regions using attention maps derived from the low-resolution image and the current time step in the diffusion process. This time-dependent targeting enables a more efficient conversion to high-resolution outputs by focusing on …
abstract arxiv attention cs.cv diffusion diffusion models dynamic image intensity maps quality risks spatial type uniform yoda
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