{"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\/da\/2024\/03\/researchers-build-synthetic-dog-dataset-in-gta-v-to-create-3d-models\/","title":{"rendered":"Forskere bygger syntetisk hundedatas\u00e6t i GTA-V for at skabe 3D-modeller"},"content":{"rendered":"

Forskere fra University of Surrey har udviklet en metode til at omdanne fotografier af hunde til detaljerede 3D-modeller.\u00a0<\/b><\/p>\n

Tr\u00e6ningsmaterialet? Ikke rigtige hunde, men derimod computergenererede billeder fra den virtuelle verden i hitspillet Grand Theft Auto V (GTA V).\u00a0<\/span><\/p>\n

Moira Shooter, en forskerstuderende, der var involveret i unders\u00f8gelsen, <\/span>delt af unders\u00f8gelsen<\/span><\/a>\"Vores model blev tr\u00e6net p\u00e5 CGI-hunde - men vi var i stand til at bruge den til at lave 3D-skeletmodeller ud fra fotografier af rigtige dyr. Det kunne give naturfredningsfolk mulighed for at spotte skadede dyr eller hj\u00e6lpe kunstnere med at skabe mere realistiske dyr i metaverse.\"<\/span><\/p>\n

Hidtil har metoder til at l\u00e6re AI om 3D-strukturer involveret brug af rigtige fotos sammen med data om objekternes faktiske 3D-positioner, ofte opn\u00e5et gennem motion capture-teknologi.\u00a0<\/span><\/p>\n

Men n\u00e5r man anvender disse teknikker p\u00e5 hunde eller andre dyr, er der ofte for mange bev\u00e6gelser at spore, og det er sv\u00e6rt at f\u00e5 hundene til at opf\u00f8re sig ordentligt i tilstr\u00e6kkelig lang tid.\u00a0<\/span><\/p>\n

For at opbygge deres hundedatas\u00e6t \u00e6ndrede forskerne GTA V's kode for at erstatte de menneskelige figurer med hundeavatarer gennem en proces kendt som \"modding\".\u00a0<\/span><\/p>\n

\"Hunde\"
Eksempler fra det syntetiske hundedatas\u00e6t genereret ved hj\u00e6lp af GTA-V. Kilde: Universitetet i Surrey<\/a>.<\/figcaption><\/figure>\n

Forskerne producerede 118 videoer, der fangede disse virtuelle hunde i forskellige handlinger - siddende, g\u00e5ende, g\u00f8ende og l\u00f8bende - under forskellige milj\u00f8forhold. <\/span><\/p>\n

Dette kulminerede i oprettelsen af 'DigiDogs', en omfattende database med 27.900 billeder af hundebev\u00e6gelser, der er indfanget p\u00e5 en m\u00e5de, som dataindsamling i den virkelige verden ikke havde tilladt.<\/span><\/p>\n

Med datas\u00e6ttet i h\u00e5nden brugte de n\u00e6ste trin Metas DINOv2 AI-model for dens st\u00e6rke generaliseringsevner og finjusterede den med DigiDogs for n\u00f8jagtigt at forudsige 3D-positurer fra RGB-billeder med en enkelt visning.<\/span><\/p>\n

Forskerne demonstrerede, at brugen af DigiDogs datas\u00e6t til tr\u00e6ning resulterede i mere n\u00f8jagtige og livagtige 3D-hundepositurer end dem, der blev tr\u00e6net p\u00e5 datas\u00e6t fra den virkelige verden, takket v\u00e6re variationen i hundens udseende og handlinger, der blev fanget. <\/span><\/p>\n

Modellens forbedrede ydeevne blev bekr\u00e6ftet gennem grundige kvalitative og kvantitative evalueringer.<\/span><\/p>\n

\"AI-hunde\"
Modeller tr\u00e6net p\u00e5 det syntetiske datas\u00e6t DigiDogs viste forbedret n\u00f8jagtighed i forhold til dem, der kun var tr\u00e6net med det virkelige datas\u00e6t RGBD-Dogs. Det kan du se her, hvis du kigger n\u00f8je p\u00e5 de forudsagte mappinger (i pink) i forhold til den grundl\u00e6ggende sandhed (i gr\u00f8n), som er forbedret i h\u00f8jre side. Kilde: Universitetet i Surrey<\/a>.<\/figcaption><\/figure>\n

Selvom denne unders\u00f8gelse var et stort skridt fremad inden for 3D-dyrmodellering, erkender holdet, at der er mere arbejde at g\u00f8re, is\u00e6r med at forbedre, hvordan modellen forudsiger dybdeaspektet af billederne (z-koordinaten).\u00a0<\/span><\/p>\n

Shooter beskrev den potentielle effekt af deres arbejde og sagde: \"3D-poser indeholder s\u00e5 meget mere information end 2D-fotografier. Fra \u00f8kologi til animation - denne smarte l\u00f8sning har s\u00e5 mange anvendelsesmuligheder.\"<\/span><\/p>\n

Den <\/span>papir<\/span><\/a> vandt prisen for bedste artikel ved IEEE\/CVF Winter Conference on Applications of Computer Vision. <\/span><\/p>\n

Det \u00e5bner d\u00f8ren til bedre modelydelse inden for omr\u00e5der som bevarelse af dyreliv og gengivelse af 3D-objekter til VR.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Forskere fra University of Surrey har udviklet en metode til at omdanne fotografier af hunde til detaljerede 3D-modeller. Tr\u00e6ningsmaterialet? Ikke rigtige hunde, men derimod computergenererede billeder fra den virtuelle verden i det popul\u00e6re spil Grand Theft Auto V (GTA V). Moira Shooter, en forskerstuderende, der var involveret i unders\u00f8gelsen, sagde om unders\u00f8gelsen: \"Vores model blev tr\u00e6net p\u00e5 CGI-hunde - men vi var i stand til at bruge den til at lave 3D-skeletmodeller ud fra fotografier af rigtige dyr. Det kan give naturfredningsfolk mulighed for at spotte skadede dyr eller hj\u00e6lpe kunstnere med at skabe mere realistiske dyr i metaverse.\" Til<\/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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