Generating Realistic X-ray Scattering Images Using Stable Diffusion and Human-in-the-loop Annotations

We fine-tuned a foundational stable diffusion model using X-ray scattering images and their corresponding descriptions to generate new scientific images from given prompts. However, some of the generated images exhibit significant unrealistic artifacts, commonly known as "hallucinations"....

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Veröffentlicht in:	arXiv.org 2024-08
Hauptverfasser:	Zhao, Zhuowen, Chong, Xiaoya, Chavez, Tanny, Hexemer, Alexander
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Computer vision Data augmentation Digital imaging Digital twins Feasibility studies Generative artificial intelligence Image enhancement Research facilities X-ray scattering
Online-Zugang:	Volltext
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