{"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\/es\/2024\/03\/researchers-build-synthetic-dog-dataset-in-gta-v-to-create-3d-models\/","title":{"rendered":"Investigadores crean un conjunto de datos sint\u00e9ticos de perros en GTA-V para crear modelos 3D"},"content":{"rendered":"

Investigadores de la Universidad de Surrey han desarrollado un m\u00e9todo para transformar fotograf\u00edas de perros en detallados modelos 3D.\u00a0<\/b><\/p>\n

\u00bfEl material de adiestramiento? No perros reales, sino im\u00e1genes generadas por ordenador del mundo virtual del exitoso juego Grand Theft Auto V (GTA V).\u00a0<\/span><\/p>\n

Moira Shooter, estudiante de investigaci\u00f3n de posgrado que participa en el estudio, <\/span>compartido del estudio<\/span><\/a>Nuestro modelo se entren\u00f3 con perros CGI, pero pudimos utilizarlo para crear modelos esquel\u00e9ticos en 3D a partir de fotograf\u00edas de animales reales. Eso podr\u00eda permitir a los conservacionistas detectar animales salvajes heridos, o ayudar a los artistas a crear animales m\u00e1s realistas en el metaverso.\"<\/span><\/p>\n

Hasta la fecha, los m\u00e9todos para ense\u00f1ar a la IA estructuras tridimensionales consisten en utilizar fotos reales junto con datos sobre las posiciones tridimensionales reales de los objetos, a menudo obtenidos mediante tecnolog\u00eda de captura de movimiento.\u00a0<\/span><\/p>\n

Sin embargo, cuando se aplican estas t\u00e9cnicas a perros u otros animales, suele haber demasiados movimientos que seguir, y conseguir que los perros se comporten durante el tiempo suficiente es dif\u00edcil.\u00a0<\/span><\/p>\n

Para construir su conjunto de datos sobre perros, los investigadores alteraron el c\u00f3digo de GTA V para sustituir sus personajes humanos por avatares caninos mediante un proceso conocido como \"modding\".\u00a0<\/span><\/p>\n

\"Perros\"
Ejemplos del conjunto de datos sint\u00e9ticos de perros generados con GTA-V. Fuente: Universidad de Surrey<\/a>.<\/figcaption><\/figure>\n

Los investigadores produjeron 118 v\u00eddeos que captaban a estos perros virtuales en diversas acciones -sentarse, caminar, ladrar y correr- en diferentes condiciones ambientales. <\/span><\/p>\n

Esto culmin\u00f3 en la creaci\u00f3n de \"DigiDogs\", una rica base de datos que contiene 27.900 fotogramas del movimiento de los perros, capturados de una forma que la recogida de datos en el mundo real no hab\u00eda permitido.<\/span><\/p>\n

Con el conjunto de datos en la mano, en los siguientes pasos se utiliz\u00f3 el modelo de IA DINOv2 de Meta por su gran capacidad de generalizaci\u00f3n, ajust\u00e1ndolo con DigiDogs para predecir con precisi\u00f3n poses en 3D a partir de im\u00e1genes RGB de una sola vista.<\/span><\/p>\n

Los investigadores demostraron que el uso del conjunto de datos DigiDogs para el entrenamiento daba como resultado poses de perros en 3D m\u00e1s precisas y realistas que las de los entrenados con conjuntos de datos del mundo real, gracias a la variedad de apariencias y acciones de los perros capturadas. <\/span><\/p>\n

La mejora del rendimiento del modelo se confirm\u00f3 mediante exhaustivas evaluaciones cualitativas y cuantitativas.<\/span><\/p>\n

\"Perros
Los modelos entrenados con el conjunto de datos sint\u00e9ticos DigiDogs mostraron una mayor precisi\u00f3n que los entrenados \u00fanicamente con el conjunto de datos del mundo real RGBD-Dogs. Esto puede verse aqu\u00ed si se observan detenidamente los mapeados predichos (en rosa) frente a la verdad sobre el terreno (en verde), que mejoran en el lado derecho. Fuente: Universidad de Surrey<\/a>.<\/figcaption><\/figure>\n

Aunque este estudio representa un gran paso adelante en el modelado 3D de animales, el equipo reconoce que a\u00fan queda trabajo por hacer, sobre todo para mejorar la forma en que el modelo predice el aspecto de profundidad de las im\u00e1genes (la coordenada z).\u00a0<\/span><\/p>\n

Shooter describi\u00f3 el impacto potencial de su trabajo diciendo: \"Las poses en 3D contienen mucha m\u00e1s informaci\u00f3n que las fotograf\u00edas en 2D. Desde la ecolog\u00eda a la animaci\u00f3n, esta soluci\u00f3n tiene muchas posibilidades\".<\/span><\/p>\n

En <\/span>papel<\/span><\/a> obtuvo el premio al mejor art\u00edculo en la Conferencia de Invierno IEEE\/CVF sobre Aplicaciones de la Visi\u00f3n por Ordenador. <\/span><\/p>\n

Abre la puerta a un mejor rendimiento de los modelos en \u00e1reas como la conservaci\u00f3n de la vida salvaje y el renderizado de objetos 3D para RV.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Investigadores de la Universidad de Surrey han desarrollado un m\u00e9todo para transformar fotograf\u00edas de perros en detallados modelos 3D. \u00bfEl material de entrenamiento? No perros reales, sino im\u00e1genes generadas por ordenador del mundo virtual del exitoso juego Grand Theft Auto V (GTA V). Moira Shooter, estudiante de investigaci\u00f3n de posgrado que participa en el estudio, explica: \"Nuestro modelo se entren\u00f3 con perros CGI, pero pudimos utilizarlo para crear modelos esquel\u00e9ticos en 3D a partir de fotograf\u00edas de animales reales. Eso podr\u00eda permitir a los conservacionistas detectar animales salvajes heridos o ayudar a los artistas a crear animales m\u00e1s realistas en el metaverso\". A<\/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\" href=\"https:\/\/dailyai.com\/es\/2024\/03\/researchers-build-synthetic-dog-dataset-in-gta-v-to-create-3d-models\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" 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