{"id":6676,"date":"2023-10-22T17:46:17","date_gmt":"2023-10-22T17:46:17","guid":{"rendered":"https:\/\/dailyai.com\/?p=6676"},"modified":"2023-10-22T19:22:23","modified_gmt":"2023-10-22T19:22:23","slug":"3d-gpt-generates-3d-environments-from-text-prompts","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2023\/10\/3d-gpt-generates-3d-environments-from-text-prompts\/","title":{"rendered":"3D-GPT genera entornos 3D a partir de mensajes de texto"},"content":{"rendered":"

En una colaboraci\u00f3n entre la Universidad Nacional de Australia, la Universidad de Oxford y la Academia de IA de Pek\u00edn, los investigadores han presentado un sistema de IA llamado \"3D-GPT\".\u00a0<\/b><\/p>\n

Esta sofisticada cadena de agentes de IA permite generar entornos tridimensionales mediante sencillas instrucciones de texto. <\/span><\/p>\n

El documento, disponible en <\/span>arXiv<\/span><\/a>muestra un enfoque racionalizado y sencillo de la creaci\u00f3n de activos 3D, que contrasta con los enrevesados flujos de trabajo del modelado 3D tradicional.<\/span><\/p>\n

Con s\u00f3lo describir un entorno como \"un pico nevado con un sol radiante de fondo\", el sistema de IA interpretar\u00e1 y desarrollar\u00e1 la descripci\u00f3n del entorno y la utilizar\u00e1 para generar un c\u00f3digo que pueda introducirse en un programa de infograf\u00eda 3D como Blender.\u00a0<\/span><\/p>\n

3D-GPT descompone las complejas tareas de modelado 3D en segmentos manejables, delegando cada segmento a agentes de IA especializados.<\/span><\/p>\n

Las funciones del agente son las siguientes:<\/span><\/p>\n

    \n
  1. Agente de env\u00edo de tareas<\/b>: Interpreta las instrucciones de texto proporcionadas por el usuario.<\/span><\/li>\n
  2. Agente de conceptualizaci\u00f3n<\/b>: Enriquece la descripci\u00f3n inicial completando los detalles que faltan.<\/span><\/li>\n
  3. Agente de modelos<\/b>: Establece los par\u00e1metros necesarios y genera c\u00f3digo para manipular software 3D como Blender.<\/span><\/li>\n<\/ol>\n

    Gracias a esta estructura basada en agentes, 3D-GPT puede interpretar indicaciones textuales, aumentar las descripciones con contexto adicional y crear activos 3D que se ajusten a la imaginaci\u00f3n del usuario.<\/span><\/p>\n

    \"3D-GPT
    Canal de 3D-GPT para convertir mensajes de texto en gr\u00e1ficos 3D. Fuente: ArXiv<\/a>.<\/figcaption><\/figure>\n

    Transformar texto en mundos 3D<\/span><\/h2>\n

    El art\u00edculo describe c\u00f3mo 3D-GPT puede tomar un simple texto como \"una brumosa ma\u00f1ana de primavera, donde las flores besadas por el roc\u00edo salpican un exuberante prado rodeado de \u00e1rboles en ciernes\" y darle vida, creando una rica escena en 3D con gr\u00e1ficos realistas.\u00a0<\/span><\/p>\n

    Aunque la tecnolog\u00eda no ha llegado al fotorrealismo, los resultados son prometedores.<\/span><\/p>\n

    Los investigadores se muestran optimistas de cara al futuro: \"Nuestras investigaciones emp\u00edricas confirman que 3D-GPT no s\u00f3lo interpreta y ejecuta instrucciones, ofreciendo resultados fiables, sino que tambi\u00e9n colabora eficazmente con los dise\u00f1adores humanos.\"\u00a0<\/span><\/p>\n

    Creen que su sistema \"pone de relieve el potencial de los LLM en el modelado 3D, ofreciendo un marco b\u00e1sico para futuros avances en la generaci\u00f3n de escenas y la animaci\u00f3n.\"<\/span><\/p>\n

    A medida que tecnolog\u00edas como el metaverso vayan ganando terreno, herramientas como 3D-GPT podr\u00edan convertirse en indispensables.\u00a0<\/span><\/p>\n

    Las aplicaciones potenciales abarcan muchos sectores, como los juegos, la realidad virtual, el cine y las experiencias multimedia, lo que hace que la creaci\u00f3n de contenidos 3D sea m\u00e1s eficiente y accesible.\u00a0<\/span><\/p>\n

    3D-GPT puede hacer saltar las alarmas de los dise\u00f1adores de videojuegos y modeladores 3D, que ya se ven atacados por herramientas similares integradas en plataformas de dise\u00f1o tan populares como Unity.<\/p>","protected":false},"excerpt":{"rendered":"

    En una colaboraci\u00f3n entre la Universidad Nacional de Australia, la Universidad de Oxford y la Academia de Inteligencia Artificial de Pek\u00edn, los investigadores han presentado un sistema de IA llamado \"3D-GPT\". Esta sofisticada cadena de agentes de IA permite generar entornos tridimensionales mediante sencillas instrucciones de texto. El art\u00edculo, disponible en arXiv, muestra un enfoque \u00e1gil y sencillo de la creaci\u00f3n de activos 3D, que contrasta con los enrevesados flujos de trabajo del modelado 3D tradicional. Basta con describir un entorno como \"un pico nevado con un sol radiante de fondo\" para que el sistema de IA interprete y desarrolle la descripci\u00f3n del entorno y la utilice para generar un entorno 3D.<\/p>","protected":false},"author":2,"featured_media":6678,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[448,115,105],"class_list":["post-6676","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-3d","tag-chatgpt","tag-machine-learning"],"yoast_head":"\n3D-GPT generates 3D environments from text prompts | DailyAI<\/title>\n<meta name=\"description\" content=\"In a collaboration between the Australian National University, the University of Oxford, and the Beijing Academy of AI, researchers have unveiled an AI system named \u201c3D-GPT.\u201d\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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