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Experimental results demonstrate that IGG outperforms state-of-the-art image generation and editing models, producing realistic, high-quality images with preserved topology and fewer artifacts.
Experimental results demonstrate that IGG outperforms state-of-the-art image generation and editing models, producing realistic, high-quality images with preserved topology and fewer arti- facts.
IGG (Image Generation informed by Geodesic dynamics), a novel framework that integrates topology-preserving geodesic principles into the diffusion-based generative process, where geometric object changes are learned as smooth and invertible smooth mappings from a given template/source image.
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