In our experiments, HyperHuman showed superiority in generating high-quality images and maintaining text-image alignment, outperforming state-of-the-art methods significantly. Using robust evaluation metrics, we validated our approach's effectiveness.
The study leverages a Latent Structural Diffusion Model, which enhances the quality of generated images by integrating structure-guided refinement, culminating in improved image quality metrics and pose accuracy.
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