{"id":10471,"date":"2024-03-03T15:35:29","date_gmt":"2024-03-03T15:35:29","guid":{"rendered":"https:\/\/dailyai.com\/?p=10471"},"modified":"2024-03-04T11:20:05","modified_gmt":"2024-03-04T11:20:05","slug":"researchers-build-synthetic-dog-dataset-in-gta-v-to-create-3d-models","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2024\/03\/researchers-build-synthetic-dog-dataset-in-gta-v-to-create-3d-models\/","title":{"rendered":"Forscher erstellen synthetischen Hundedatensatz in GTA-V zur Erstellung von 3D-Modellen"},"content":{"rendered":"

Forscher der Universit\u00e4t Surrey haben eine Methode entwickelt, um Fotos von Hunden in detaillierte 3D-Modelle umzuwandeln.\u00a0<\/b><\/p>\n

Das Trainingsmaterial? Keine echten Hunde, sondern computergenerierte Bilder aus der virtuellen Welt des Spielhits Grand Theft Auto V (GTA V).\u00a0<\/span><\/p>\n

Moira Shooter, eine an der Studie beteiligte Postgraduiertenstudentin, <\/span>der Studie geteilt<\/span><\/a>Unser Modell wurde an CGI-Hunden trainiert, aber wir konnten es nutzen, um 3D-Skelettmodelle aus Fotos von echten Tieren zu erstellen. Das k\u00f6nnte Natursch\u00fctzern helfen, verletzte Wildtiere zu erkennen, oder K\u00fcnstlern dabei helfen, realistischere Tiere im Metaverse zu erschaffen.<\/span><\/p>\n

Bisherige Methoden, um der KI 3D-Strukturen beizubringen, basieren auf realen Fotos und Daten \u00fcber die tats\u00e4chliche 3D-Position der Objekte, die oft durch Motion-Capture-Technologie gewonnen werden.\u00a0<\/span><\/p>\n

Bei der Anwendung dieser Techniken auf Hunde oder andere Tiere gibt es jedoch oft zu viele Bewegungen zu verfolgen, und es ist schwierig, Hunde dazu zu bringen, sich lange genug zu verhalten.\u00a0<\/span><\/p>\n

Um ihren Hundedatensatz zu erstellen, \u00e4nderten die Forscher den Code von GTA V, um die menschlichen Charaktere durch Hunde-Avatare zu ersetzen, was als \"Modding\" bezeichnet wird.\u00a0<\/span><\/p>\n

\"Hunde\"
Beispiele aus dem mit GTA-V generierten synthetischen Hundedatensatz. Quelle: Universit\u00e4t von Surrey<\/a>.<\/figcaption><\/figure>\n

Die Forscher produzierten 118 Videos, die diese virtuellen Hunde bei verschiedenen Aktionen - Sitzen, Gehen, Bellen und Laufen - in unterschiedlichen Umgebungsbedingungen zeigten. <\/span><\/p>\n

Das Ergebnis war DigiDogs\", eine umfangreiche Datenbank mit 27 900 Einzelbildern von Hundebewegungen, die auf eine Art und Weise erfasst wurden, wie es bei der realen Datenerfassung nicht m\u00f6glich war.<\/span><\/p>\n

Mit dem Datensatz in der Hand wurde in den n\u00e4chsten Schritten das KI-Modell DINOv2 von Meta aufgrund seiner starken Generalisierungsf\u00e4higkeiten verwendet und mit DigiDogs fein abgestimmt, um 3D-Posen aus RGB-Bildern in Einzelansicht genau vorherzusagen.<\/span><\/p>\n

Die Forscher wiesen nach, dass die Verwendung des DigiDogs-Datensatzes f\u00fcr das Training zu pr\u00e4ziseren und lebensechteren 3D-Hundeposen f\u00fchrte als die, die mit realen Datens\u00e4tzen trainiert wurden, dank der Vielfalt der erfassten Hundeerscheinungen und -aktionen. <\/span><\/p>\n

Die verbesserte Leistung des Modells wurde durch gr\u00fcndliche qualitative und quantitative Bewertungen best\u00e4tigt.<\/span><\/p>\n

\"AI-Hunde\"
Modelle, die mit dem synthetischen Datensatz DigiDogs trainiert wurden, zeigten eine bessere Genauigkeit als Modelle, die nur mit dem realen Datensatz RGBD-Dogs trainiert wurden. Sie k\u00f6nnen dies hier sehen, wenn Sie sich die vorhergesagten Zuordnungen (in rosa) im Vergleich zur Basiswahrheit (in gr\u00fcn) genau ansehen, die auf der rechten Seite verbessert sind. Quelle: Universit\u00e4t von Surrey<\/a>.<\/figcaption><\/figure>\n

Obwohl diese Studie einen gro\u00dfen Schritt nach vorn in der 3D-Tiermodellierung darstellt, r\u00e4umt das Team ein, dass noch mehr Arbeit zu leisten ist, insbesondere bei der Verbesserung der Vorhersage des Tiefenaspekts der Bilder (der z-Koordinate).\u00a0<\/span><\/p>\n

Shooter beschrieb die m\u00f6glichen Auswirkungen ihrer Arbeit mit den Worten: \"3D-Posen enthalten so viel mehr Informationen als 2D-Fotos. Von der \u00d6kologie bis zur Animation - es gibt so viele Anwendungsm\u00f6glichkeiten f\u00fcr diese tolle L\u00f6sung.<\/span><\/p>\n

Die <\/span>Papier<\/span><\/a> wurde auf der IEEE\/CVF Winter Conference on Applications of Computer Vision mit dem Preis f\u00fcr das beste Papier ausgezeichnet. <\/span><\/p>\n

Sie \u00f6ffnet die T\u00fcr zu einer besseren Modellleistung in Bereichen wie dem Schutz von Wildtieren und dem Rendering von 3D-Objekten f\u00fcr VR.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Forscher der Universit\u00e4t Surrey haben eine Methode entwickelt, um Fotos von Hunden in detaillierte 3D-Modelle zu verwandeln. Das Trainingsmaterial? Keine echten Hunde, sondern computergenerierte Bilder aus der virtuellen Welt des Spielhits Grand Theft Auto V (GTA V). Moira Shooter, eine an der Studie beteiligte Doktorandin, sagte \u00fcber die Studie: \"Unser Modell wurde an CGI-Hunden trainiert - aber wir konnten es verwenden, um 3D-Skelettmodelle aus Fotos von echten Tieren zu erstellen. Das k\u00f6nnte Natursch\u00fctzern helfen, verletzte Wildtiere zu erkennen, oder K\u00fcnstlern dabei helfen, realistischere Tiere im Metaverse zu erschaffen.\" Zu<\/p>","protected":false},"author":2,"featured_media":10474,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[105,546],"class_list":["post-10471","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-machine-learning","tag-vr"],"yoast_head":"\nResearchers build synthetic dog dataset in GTA-V to create 3D models | DailyAI<\/title>\n<meta name=\"description\" content=\"Researchers from the University of Surrey have developed a method to transform photographs of dogs into detailed 3D models.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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