{"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\/ro\/blog\/news\/hyperstyle-adaptacziya-sistemy-mashinnogo-obucheniya-stylegan-dlya-redaktirovaniya-izobrazhenij","title":{"rendered":"HyperStyle \u2014 adaptarea sistemului de \u00eenv\u0103\u021bare automat\u0103 StyleGAN pentru editarea imaginilor","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Un grup de cercet\u0103tori de la Universitatea din Tel Aviv a prezentat HyperStyle, o variant\u0103 inversat\u0103 a sistemului de \u00eenv\u0103\u021bare automat\u0103 StyleGAN2 dezvoltat de compania NVIDIA, care a fost reproiectat\u0103 pentru a recrea p\u0103r\u021bile lips\u0103 \u00een editarea imaginilor reale. Codul este scris \u00een Python folosind cadrul PyTorch \u0219i este distribuit sub licen\u021ba MIT. <\/p>\n

Dac\u0103 StyleGAN permite sintetizarea de fe\u021be umane realiste prin specificarea unor parametri precum v\u00e2rsta, sexul, lungimea p\u0103rului, caracterul z\u00e2mbetului, forma nasului, culoarea pielii, ochelarii \u0219i unghiul fotografiei, atunci HyperStyle ofer\u0103 posibilitatea de a modifica parametrii similari \u00een fotografii deja existente, f\u0103r\u0103 a schimba caracteristicile distinctive \u0219i p\u0103str\u00e2nd recunoa\u0219terea fe\u021bei originale. De exemplu, cu ajutorul HyperStyle se poate simula schimbarea v\u00e2rstei unei persoane din fotografie, se poate schimba coafura, se pot ad\u0103uga ochelari, barb\u0103 sau musta\u021b\u0103, se poate conferi imaginii aspectul unui personaj de desen animat sau al unei lucr\u0103ri artistice, sau se poate face expresia fe\u021bei trist\u0103 sau fericit\u0103. \u00cen plus, sistemul poate fi antrenat nu doar pentru modificarea fe\u021belor umane, ci \u0219i pentru orice obiecte, de exemplu, pentru editarea imaginilor cu automobile.

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

Metoda propus\u0103 vizeaz\u0103 solu\u021bionarea problemei reconstruct\u0103rii p\u0103r\u021bilor lips\u0103 ale imaginii \u00een timpul edit\u0103rii. \u00cen metodele propuse anterior, compromisurile \u00eentre reconstruc\u021bie \u0219i editabilitate au fost rezolvate prin ajustarea fin\u0103 a generatorului de imagini pentru a \u00eenlocui p\u0103r\u021bile imaginii \u021bint\u0103 la recrearea zonelor editabile ini\u021bial lips\u0103. O problem\u0103 a acestor abord\u0103ri este necesitatea antren\u0103rii \u00eendelungate a re\u021belei neuronale pentru fiecare imagine. <\/p>\n

Metoda bazat\u0103 pe algoritmul StyleGAN permite utilizarea unui model standard, antrenat anterior pe colec\u021bii comune de imagini, pentru generarea elementelor caracteristice ale imaginii originale cu un nivel de credibilitate comparabil cu algoritmii care necesit\u0103 antrenarea individual\u0103 a modelului pentru fiecare imagine. De asemenea, se remarc\u0103 printre avantajele noii metode posibilitatea de a modifica imaginile cu o performan\u021b\u0103 apropiat\u0103 de timpul real.

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

Modele deja antrenate sunt preg\u0103tite pentru fe\u021bele oamenilor, ma\u0219inilor \u0219i animalelor, bazate pe colec\u021biile Flickr-Faces-HQ (FFHQ, 70.000 de imagini PNG de \u00eenalt\u0103 calitate ale fe\u021belor umane), Stanford Cars (16.000 de imagini ale ma\u0219inilor) \u0219i AFHQ (fotografii cu animale). De asemenea, uneltele pentru antrenarea propriilor modele sunt disponibile, al\u0103turi de modele antrenate gata de utilizare, tipice pentru codificatori \u0219i generatoare. De exemplu, sunt disponibile generatoare pentru a crea imagini \u00een stil Toonify, personaje Pixar, schi\u021be \u0219i chiar pentru stilizarea dup\u0103 prin\u021bese din desenele animate Disney.

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

\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 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