{"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\/pt\/blog\/news\/hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij","title":{"rendered":"HyperStyle \u2014 adapta\u00e7\u00e3o do sistema de aprendizado de m\u00e1quina StyleGAN para edi\u00e7\u00e3o de imagens","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Um grupo de pesquisadores da Universidade de Tel Aviv apresentou o HyperStyle, uma variante invertida do sistema de aprendizado de m\u00e1quina StyleGAN2, desenvolvido pela NVIDIA, que foi adaptado para recriar partes ausentes ao editar imagens reais. O c\u00f3digo \u00e9 escrito em Python utilizando o framework PyTorch e \u00e9 distribu\u00eddo sob a licen\u00e7a MIT.      <\/p>\n<p>Enquanto o StyleGAN permite sintetizar rostos humanos que parecem realistas, ajustando par\u00e2metros como idade, g\u00eanero, comprimento do cabelo, caracter\u00edsticas do sorriso, formato do nariz, cor da pele, \u00f3culos e \u00e2ngulo da fotografia, o HyperStyle proporciona a capacidade de alterar par\u00e2metros semelhantes em fotografias j\u00e1 existentes, sem modificar suas caracter\u00edsticas distintivas e mantendo o reconhecimento do rosto original. Por exemplo, com o HyperStyle, \u00e9 poss\u00edvel simular a mudan\u00e7a de idade de uma pessoa na fotografia, trocar o penteado, adicionar \u00f3culos, barba ou bigode, transformar a imagem em um personagem de desenho animado ou em uma pintura, ou ainda alterar a express\u00e3o do rosto para triste ou alegre. Al\u00e9m disso, o sistema pode ser treinado n\u00e3o apenas para alterar rostos humanos, mas tamb\u00e9m para qualquer objeto, como a edi\u00e7\u00e3o de imagens de carros.    <center><img decoding=\"async\" alt=\"HyperStyle - adapta\u00e7\u00e3o do sistema de aprendizado de m\u00e1quina StyleGAN para edi\u00e7\u00e3o de imagens\" src=\"\/wp-content\/uploads\/2021\/12\/c769f18ab3a0e74ad50c882e1993e19d.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>      <\/p>\n<p>O m\u00e9todo proposto visa resolver o problema da reconstru\u00e7\u00e3o de partes ausentes de uma imagem durante a edi\u00e7\u00e3o. Nos m\u00e9todos anteriormente sugeridos, o compromisso entre reconstru\u00e7\u00e3o e editabilidade era abordado atrav\u00e9s do ajuste fino do gerador de imagens para inserir partes da imagem-alvo ao recriar \u00e1reas edit\u00e1veis que estavam originalmente ausentes. A desvantagem desses abordagens \u00e9 a necessidade de um treinamento prolongado da rede neural para cada imagem.     <\/p>\n<p>O m\u00e9todo baseado no algoritmo StyleGAN permite a utiliza\u00e7\u00e3o de um modelo padr\u00e3o, previamente treinado em cole\u00e7\u00f5es gerais de imagens, para gerar elementos caracter\u00edsticos da imagem original com um n\u00edvel de veracidade compar\u00e1vel aos algoritmos que requerem treinamento individual do modelo para cada imagem. Entre as vantagens do novo m\u00e9todo tamb\u00e9m se destaca a capacidade de modificar imagens com desempenho pr\u00f3ximo ao tempo real.    <center><img decoding=\"async\" alt=\"HyperStyle - adapta\u00e7\u00e3o do sistema de aprendizado de m\u00e1quina StyleGAN para edi\u00e7\u00e3o de imagens\" src=\"\/wp-content\/uploads\/2021\/12\/6ff49351ac843b00413214e4f82dd3e6.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>    <\/p>\n<p>Modelos pr\u00e9-treinados prontos foram preparados para rostos humanos, m\u00e1quinas e animais com base nas cole\u00e7\u00f5es Flickr-Faces-HQ (FFHQ, 70 mil imagens PNG de rostos humanos de alta qualidade), Stanford Cars (16 mil imagens de carros) e AFHQ (fotos de animais). Al\u00e9m disso, uma ferramenta para treinar seus pr\u00f3prios modelos foi fornecida, assim como modelos pr\u00e9-treinados prontos para uso com codificadores e geradores t\u00edpicos. Por exemplo, geradores est\u00e3o dispon\u00edveis para criar imagens no estilo Toonify, personagens da Pixar, forma\u00e7\u00e3o de esbo\u00e7os e at\u00e9 estiliza\u00e7\u00e3o de princesas de filmes da Disney.  <center><img decoding=\"async\" alt=\"HyperStyle - adapta\u00e7\u00e3o do sistema de aprendizado de m\u00e1quina StyleGAN para edi\u00e7\u00e3o de imagens\" src=\"\/wp-content\/uploads\/2021\/12\/dc123b2e48e8da1d438b9d239dd2f780.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>      <center><img decoding=\"async\" alt=\"HyperStyle - adapta\u00e7\u00e3o do sistema de aprendizado de m\u00e1quina StyleGAN para edi\u00e7\u00e3o de imagens\" src=\"\/wp-content\/uploads\/2021\/12\/1d303108f9cf52642fb46c212a9bdd5a.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>  <center><img decoding=\"async\" alt=\"HyperStyle - adapta\u00e7\u00e3o do sistema de aprendizado de m\u00e1quina StyleGAN para edi\u00e7\u00e3o de imagens\" src=\"\/wp-content\/uploads\/2021\/12\/005d65b9d3e3589d374edcd448a51519.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>      <center><img decoding=\"async\" alt=\"HyperStyle - adapta\u00e7\u00e3o do sistema de aprendizado de m\u00e1quina StyleGAN para edi\u00e7\u00e3o de imagens\" src=\"\/wp-content\/uploads\/2021\/12\/1ef6c3290dc07345e2c63edd13eaf142.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center><br \/>\n<br \/>Fonte: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=56273\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0413\u0440\u0443\u043f\u043f\u0430 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439 \u0438\u0437 \u0422\u0435\u043b\u044c-\u0410\u0432\u0438\u0432\u0441\u043a\u043e\u0433\u043e \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 HyperStyle, \u0438\u043d\u0432\u0435\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u0432\u0430\u0440\u0438\u0430\u043d\u0442 \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u043c\u043e\u0439 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0435\u0439 NVIDIA \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f StyleGAN2, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u0435\u0440\u0435\u0440\u0430\u0431\u043e\u0442\u0430\u043d \u0434\u043b\u044f \u0432\u043e\u0441\u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043d\u0435\u0434\u043e\u0441\u0442\u0430\u044e\u0449\u0438\u0445 \u0447\u0430\u0441\u0442\u0435\u0439 \u043f\u0440\u0438 \u0440\u0435\u0434\u0430\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0438 \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. \u041a\u043e\u0434 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u0430 PyTorch \u0438 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 MIT. \u0415\u0441\u043b\u0438 StyleGAN \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0441\u0438\u043d\u0442\u0435\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0440\u0435\u0430\u043b\u0438\u0441\u0442\u0438\u0447\u043d\u043e \u0432\u044b\u0433\u043b\u044f\u0434\u044f\u0449\u0438\u0435 \u043d\u043e\u0432\u044b\u0435 \u043b\u0438\u0446\u0430 \u043b\u044e\u0434\u0435\u0439, \u0437\u0430\u0434\u0430\u0432\u0430\u044f \u0442\u0430\u043a\u0438\u0435 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u044b, \u043a\u0430\u043a \u0432\u043e\u0437\u0440\u0430\u0441\u0442, \u043f\u043e\u043b, [&hellip;]<\/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<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0413\u0440\u0443\u043f\u043f\u0430 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439 \u0438\u0437 \u0422\u0435\u043b\u044c-\u0410\u0432\u0438\u0432\u0441\u043a\u043e\u0433\u043e \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430 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faltando.","canonical_url":"https:\/\/prohoster.info\/pt\/blog\/news\/hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"pt_PT","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47HyperStyle \u2014 \u0430\u0434\u0430\u043f\u0442\u0430\u0446\u0438\u044f \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f StyleGAN \u0434\u043b\u044f \u0440\u0435\u0434\u0430\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f 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