a-motion-element
        >
            <h2 class="paper-title">Normalized Attention Guidance: Universal Negative Guidance for Diffusion Model</h2>
            <p class="paper-summary">Negative guidance -- explicitly suppressing unwanted attributes -- remains a
fundamental challenge in diffusion models, particularly in few-step sampling
regimes. While Classifier-Free Guidance (CFG) works well in standard settings,
it fails under aggressive sampling step compression due to divergent
predictions between positi