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Generating 3D architectured nature-inspired materials and granular media using diffusion models based on language cues
A variety of image generation methods have emerged in recent years, notably DALL-E 2, Imagen and Stable Diffusion. While they have been shown to be capable of producing photorealistic images from text prompts facilitated by generative diffusion models conditioned on language input, their capacity fo...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767007/ https://www.ncbi.nlm.nih.gov/pubmed/36756638 http://dx.doi.org/10.1093/oxfmat/itac010 |