{"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\/de\/2023\/10\/3d-gpt-generates-3d-environments-from-text-prompts\/","title":{"rendered":"3D-GPT erzeugt 3D-Umgebungen aus Texteingaben"},"content":{"rendered":"

Im Rahmen einer Zusammenarbeit zwischen der Australian National University, der University of Oxford und der Beijing Academy of AI haben Forscher ein KI-System namens \"3D-GPT\" vorgestellt.\u00a0<\/b><\/p>\n

Diese ausgekl\u00fcgelte Reihe von KI-Agenten erm\u00f6glicht die Erzeugung von 3D-Umgebungen durch einfache Texteingaben. <\/span><\/p>\n

Das Papier, verf\u00fcgbar auf <\/span>arXiv<\/span><\/a>zeigt einen schlanken und benutzerfreundlichen Ansatz f\u00fcr die Erstellung von 3D-Assets, der im Gegensatz zu den komplizierten Arbeitsabl\u00e4ufen bei der herk\u00f6mmlichen 3D-Modellierung steht.<\/span><\/p>\n

Durch die einfache Beschreibung einer Umgebung wie \"schneebedeckter Gipfel mit strahlendem Sonnenschein im Hintergrund\" wird das KI-System die Beschreibung der Umgebung interpretieren und ausbauen und daraus einen Code generieren, der in eine 3D-Computergrafiksoftware wie Blender eingegeben werden kann.\u00a0<\/span><\/p>\n

3D-GPT unterteilt komplexe 3D-Modellierungsaufgaben in \u00fcberschaubare Segmente und delegiert jedes Segment an spezialisierte KI-Agenten.<\/span><\/p>\n

Der Agent hat die folgenden Aufgaben:<\/span><\/p>\n

    \n
  1. Aufgabenverteilungsagent<\/b>: Interpretiert die vom Benutzer eingegebenen Textanweisungen.<\/span><\/li>\n
  2. Konzeptualisierungsagent<\/b>: Erweitert die urspr\u00fcngliche Beschreibung, indem fehlende Details erg\u00e4nzt werden.<\/span><\/li>\n
  3. Modellierungsagent<\/b>: Legt die erforderlichen Parameter fest und generiert Code zur Bearbeitung von 3D-Software wie Blender.<\/span><\/li>\n<\/ol>\n

    Mithilfe dieser agentenbasierten Struktur kann 3D-GPT Texteingaben interpretieren, Beschreibungen mit zus\u00e4tzlichem Kontext erg\u00e4nzen und 3D-Assets erstellen, die sich eng an den Vorstellungen des Benutzers orientieren.<\/span><\/p>\n

    \"3D-GPT
    3D-GPT's Pipeline f\u00fcr die Umwandlung von Texteingaben in 3D-Grafiken. Quelle: ArXiv<\/a>.<\/figcaption><\/figure>\n

    Text in 3D-Welten verwandeln<\/span><\/h2>\n

    In dem Papier wird beschrieben, wie 3D-GPT eine einfache Textaufforderung wie \"ein nebliger Fr\u00fchlingsmorgen, an dem taufrische Blumen eine \u00fcppige, von knospenden B\u00e4umen umgebene Wiese schm\u00fccken\" zum Leben erwecken und eine reichhaltige 3D-Szene mit realistischen Grafiken erzeugen kann.\u00a0<\/span><\/p>\n

    Obwohl die Technologie noch nicht das Stadium des Fotorealismus erreicht hat, sind die Ergebnisse vielversprechend.<\/span><\/p>\n

    Die Forscher blicken optimistisch in die Zukunft: \"Unsere empirischen Untersuchungen best\u00e4tigen, dass 3D-GPT nicht nur Anweisungen interpretiert und ausf\u00fchrt und dabei zuverl\u00e4ssige Ergebnisse liefert, sondern auch effektiv mit menschlichen Designern zusammenarbeitet.\"\u00a0<\/span><\/p>\n

    Sie sind der Meinung, dass ihr System \"das Potenzial von LLMs in der 3D-Modellierung hervorhebt und einen grundlegenden Rahmen f\u00fcr zuk\u00fcnftige Fortschritte in der Szenengenerierung und Animation bietet\".<\/span><\/p>\n

    In dem Ma\u00dfe, wie Technologien wie das Metaverse an Fahrt gewinnen, k\u00f6nnten Werkzeuge wie 3D-GPT unverzichtbar werden.\u00a0<\/span><\/p>\n

    M\u00f6gliche Anwendungen gibt es in vielen Branchen, darunter Spiele, virtuelle Realit\u00e4t, Kino und Multimedia-Erlebnisse, wodurch die Erstellung von 3D-Inhalten effizienter und zug\u00e4nglicher wird.\u00a0<\/span><\/p>\n

    3D-GPT k\u00f6nnte bei Designern von Videospielen und 3D-Modellierern die Alarmglocken l\u00e4uten lassen, die bereits von \u00e4hnlichen, in beliebte Designplattformen wie Unity integrierten Tools angegriffen werden.<\/p>","protected":false},"excerpt":{"rendered":"

    Im Rahmen einer Zusammenarbeit zwischen der Australian National University, der University of Oxford und der Beijing Academy of AI haben Forscher ein KI-System namens \"3D-GPT\" vorgestellt. Diese ausgekl\u00fcgelte Kette von KI-Agenten erm\u00f6glicht die Erzeugung von 3D-Umgebungen durch einfache Texteingaben. Die auf arXiv ver\u00f6ffentlichte Arbeit zeigt einen rationalisierten und benutzerfreundlichen Ansatz zur Erstellung von 3D-Assets, der im Gegensatz zu den komplizierten Arbeitsabl\u00e4ufen bei der herk\u00f6mmlichen 3D-Modellierung steht. Durch die einfache Beschreibung einer Umgebung, z. B. eines \"schneebedeckten Gipfels mit strahlendem Sonnenschein im Hintergrund\", interpretiert das KI-System die Beschreibung der Umgebung, erg\u00e4nzt sie und generiert daraus<\/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, max-image-preview:large, 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