{"id":102454,"date":"2021-12-03T15:36:38","date_gmt":"2021-12-03T13:36:42","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij"},"modified":"2021-12-03T15:36:38","modified_gmt":"2021-12-03T13:36:42","slug":"hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij","status":"publish","type":"post","link":"https:\/\/prohoster.info\/da\/blog\/news\/hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij","title":{"rendered":"HyperStyle \u2014 tilpasning af maskinl\u00e6ringssystemet StyleGAN til billedredigering","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

En gruppe forskere fra Tel Aviv Universitet har pr\u00e6senteret HyperStyle, en inverteret variant af den maskinl\u00e6ringssystem StyleGAN2, der udvikles af NVIDIA, som er omarbejdet til at genskabe manglende dele ved redigering af virkelige billeder. Koden er skrevet i Python med brug af PyTorch-rammen og distribueres under MIT-licensen. <\/p>\n

Hvis StyleGAN muligg\u00f8r syntese af realistisk udseende ansigtstr\u00e6k ved at angive parametre som alder, k\u00f8n, h\u00e5rl\u00e6ngde, smil karakter, n\u00e6seform, hudfarve, briller og fotografivinkel, s\u00e5 giver HyperStyle mulighed for at \u00e6ndre tilsvarende parametre i allerede eksisterende fotografier uden at \u00e6ndre deres karakteristiske tr\u00e6k og bevare genkendeligheden af den oprindelige person. For eksempel kan man med HyperStyle simulere en \u00e6ndring i en persons alder p\u00e5 et foto, \u00e6ndre frisyren, tilf\u00f8je briller, et skjegg eller moustache, give billedet et udtryk som en tegneseriefigur eller maleri og \u00e6ndre ansigtsudtrykket til trist eller glad. Systemet kan desuden tr\u00e6nes ikke kun til at \u00e6ndre menneskelige ansigtstr\u00e6k, men ogs\u00e5 til alle objekter, som for eksempel til redigering af bilbilleder.

\"HyperStyle<\/center> <\/p>\n

Den foresl\u00e5ede metode sigter mod at l\u00f8se problemet med rekonstruktion af manglende dele af et billede ved redigering. I tidligere foresl\u00e5ede metoder blev kompromisset mellem rekonstruktion og redigerbarhed l\u00f8st gennem finjustering af billedgeneratoren til at inds\u00e6tte dele af det m\u00e5lbillede, n\u00e5r det skulle genskabes fra oprindeligt frav\u00e6rende redigerbare omr\u00e5der. Ulempen ved s\u00e5danne tilgange er behovet for at udf\u00f8re langvarig m\u00e5lretning af et neuralt netv\u00e6rk for hvert billede. <\/p>\n

Metoden baseret p\u00e5 StyleGAN-algoritmen giver mulighed for at bruge en generisk model, som er forkantstr\u00e6net p\u00e5 generelle billedsamlinger, til at generere elementer, der er karakteristiske for det oprindelige billede, med et trov\u00e6rdighedsniveau sammenligneligt med algoritmer, der kr\u00e6ver individuel modeltr\u00e6ning for hvert billede. Blandt fordelene ved den nye metode er ogs\u00e5 muligheden for at modificere billeder med en ydeevne t\u00e6t p\u00e5 realtid.

\"HyperStyle<\/center> <\/p>\n

F\u00e6rdigtr\u00e6nede modeller er klar til ansigtstr\u00e6ning af mennesker, biler og dyr baseret p\u00e5 samlingerne Flickr-Faces-HQ (FFHQ, 70.000 h\u00f8jopl\u00f8selige PNG-billeder af menneskelige ansigtter), Stanford Cars (16.000 billeder af biler) og AFHQ (dyrefotografier). Derudover gives v\u00e6rkt\u00f8jer til tr\u00e6ning af egne modeller og tilg\u00e6ngelige f\u00e6rdigtr\u00e6nede modeller af standardkodere og generatorer. For eksempel er der generatorer til at skabe billeder i Toonify-stil, Pixar-figurer, skitser og endda til at stylisere som prinsesser fra Disney-tegnefilm.

\"HyperStyle<\/center>
\"HyperStyle<\/center>
\"HyperStyle<\/center>
\"HyperStyle<\/center>
\n
Kilde: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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[…]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":102455,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-102454","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47HyperStyle \u2014 tilpasning af maskinl\u00e6ringssystemet StyleGAN til billedredigering | ProHoster","description":"En gruppe forskere fra Tel Aviv Universitet har pr\u00e6senteret HyperStyle, en inverteret version af NVIDIA's maskinl\u00e6ringssystem StyleGAN2, som er omarbejdet til at genskabe 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