{"id":282509,"date":"2020-11-19T00:00:00","date_gmt":"2020-11-19T00:00:00","guid":{"rendered":"https:\/\/blog.skylum.com\/interpreting-images-with-ai-to-guide-creativity-2\/"},"modified":"2026-03-21T07:41:13","modified_gmt":"2026-03-21T07:41:13","slug":"interpreting-images-with-ai-to-guide-creativity","status":"publish","type":"post","link":"https:\/\/blog.skylum.com\/fr\/interpreting-images-with-ai-to-guide-creativity\/","title":{"rendered":"Interpr\u00e9tation des Images avec l\u2019IA pour Guider la Cr\u00e9ativit\u00e9"},"content":{"rendered":"

\nEn d\u00e9but de semaine s\u2019est tenu notre premier webinaire de la communaut\u00e9 LuminarAI<\/sup> Insider. Une des pr\u00e9occupations principales mise en avant par la communaut\u00e9 \u00e9tait que l\u2019Intelligence Artificielle (IA) allait prendre toutes les d\u00e9cisions et remplacer dans les faits les choix cr\u00e9atifs du photographe.\n<\/p>\n

\nLa semaine derni\u00e8re, Alex a sugg\u00e9r\u00e9 que l\u2019on consid\u00e8re moins l\u2019IA comme un remplacement des personnes mais plut\u00f4t comme un apprenti qualifi\u00e9 qui soutient et encourage la cr\u00e9ativit\u00e9 humaine. Dans cet esprit, j\u2019ai pens\u00e9 qu\u2019il pourrait \u00eatre utile de parler de la mani\u00e8re dont LuminarAI <\/sup>accomplit cela. <\/p>\n

L\u2019Intelligence commence avec l\u2019\u00e9ducation<\/h2>\n

\nComme un enfant, un nouveau syst\u00e8me d\u2019IA regorge de potentiel mais n\u2019a pas assez d\u2019exp\u00e9rience ou de connaissances pour l\u2019exploiter pleinement. Pour d\u00e9bloquer son intelligence intrins\u00e8que, un syst\u00e8me d\u2019IA doit \u00eatre form\u00e9.\n<\/p>\n

\nPour \u00e9duquer LuminarAI<\/sup>, Skylum a accumul\u00e9 un ensemble immense de r\u00e9f\u00e9rences photographiques autour de trois collections principales :\n<\/p>\n

    \n
  1. Des images par des ma\u00eetres embl\u00e9matiques de l\u2019histoire de la photographie.\n<\/li>\n
  2. Des images photor\u00e9alistes g\u00e9n\u00e9r\u00e9es par des moteurs 3D.\n<\/li>\n
  3. Des images command\u00e9es par des ma\u00eetres modernes pour illustrer des principes sp\u00e9cifiques.\n<\/li>\n<\/ol>\n

    \nLes images des ma\u00eetres embl\u00e9matiques ont instruit l\u2019IA \u00e0 propos de l\u2019histoire visuelle de la photographie en fournissant des exemples des formes photographiques. Ceci a aid\u00e9 notre IA \u00e0 apprendre \u00e0 reconna\u00eetre l\u2019excellente photographie.\n<\/p>\n

    \nLes images 3D ont instruit l\u2019IA au sujet de la perspective, de la profondeur de champ, et des relations entre les \u00e9l\u00e9ments photographiques. Ceci a aid\u00e9 notre IA \u00e0 comprendre comment diviser une photographie en composants individuels dans un espace en 3D.\n<\/p>\n

    \nLes images command\u00e9es ont renforc\u00e9 les le\u00e7ons tir\u00e9es des deux premi\u00e8res collections, tout en introduisant \u00e9galement les erreurs de capture fr\u00e9quentes dans la composition, la mise au point, et l\u2019exposition, entre autres. Ceci a aid\u00e9 notre IA \u00e0 comprendre comment reconna\u00eetre et corriger ces erreurs.\n<\/p>\n

    \nGr\u00e2ce \u00e0 l\u2019assemblage de ces \u00e9l\u00e9ments dans notre mod\u00e8le d\u2019IA, une intelligence fonctionnelle est n\u00e9e.\n<\/p>\n

    D\u00e9ployer l\u2019IA pour lib\u00e9rer le cr\u00e9ateur<\/h2>\n

    \nLes cr\u00e9ateurs vivent un processus d\u2019apprentissage similaire pour ma\u00eetriser la photographie. Une IA fonctionnelle est assur\u00e9ment li\u00e9e \u00e0 la gamme de comp\u00e9tences techniques<\/strong> du cr\u00e9ateur. Et gr\u00e2ce \u00e0 cette liaison, elle a le potentiel de remplacer des \u00e9tapes du processus technique d\u2019\u00e9dition<\/strong>.\n<\/p>\n

    \nMais comme Alex l\u2019a \u00e9crit la semaine derni\u00e8re, chez Skylum, nous consid\u00e9rons que ce remplacement n\u2019est ni un vice, ni une vertu. L\u2019accent de notre IA est mis sur le remplacement des \u00e9tapes techniques r\u00e9p\u00e9titives, pas des \u00e9tapes cr\u00e9atives.<\/strong>\n<\/p>\n

    \nAvant toute chose, le cr\u00e9ateur doit toujours apporter toute sa finesse technique pour pouvoir capturer de superbes images. L\u2019IA fournit simplement des solutions rapides aux probl\u00e8mes courants et propose une vari\u00e9t\u00e9 de choix cr\u00e9atifs con\u00e7us pour faire ressortir le meilleur de chaque image. Le cr\u00e9ateur garde enti\u00e8rement le contr\u00f4le du r\u00e9sultat final.\n<\/p>\n

    \nMais comment l\u2019IA fait-elle ses choix ?\n<\/p>\n

    L\u2019interpr\u00e9tation pour donner des options<\/h2>\n

    \nQuand LuminarAI<\/sup> charge une image, il met son IA bien con\u00e7ue en marche, et analyse l\u2019image pour d\u00e9cider de ce qui peut \u00eatre fait pour exploiter son potentiel au maximum. Voyons un exemple.\n<\/p>\n

    <\/p>\n

    \nCette image a d\u00e9j\u00e0 beaucoup de qualit\u00e9s, mais elle peut \u00eatre am\u00e9lior\u00e9e. D\u00e8s que LuminarAI <\/sup>ouvre l\u2019image, il commence \u00e0 l\u2019analyser. A la suite de l\u2019analyse, LuminarAI<\/sup> a appris les choses suivantes \u00e0 propos de l\u2019image :\n<\/p>\n

      \n
    1. Elle contient cinq animaux (et probablement un sixi\u00e8me).\n<\/li>\n
    2. Le sixi\u00e8me animal potentiel est tr\u00e8s diff\u00e9rent des cinq autres.\n<\/li>\n
    3. La palette de couleurs est chaude et orang\u00e9e.\n<\/li>\n
    4. Il y a une ligne d\u2019horizon claire.\n<\/li>\n
    5. Il y a une tache lumineuse \u00e0 peu pr\u00e8s ronde, qui est s\u00fbrement le soleil.\n<\/li>\n
    6. \u00c9tant donn\u00e9 la palette de couleurs et la position du soleil pr\u00e8s de l\u2019horizon, il s\u2019agit s\u00fbrement d\u2019une image de coucher de soleil.\n<\/li>\n
    7. A l\u2019int\u00e9rieur de l\u2019espace en 3D, les \u00e9l\u00e9ments sont positionn\u00e9s comme ceci :\n
        \n
      • Premier plan : <\/strong>Cinq animaux similaires\n<\/li>\n
      • Plan du milieu : <\/strong>Sixi\u00e8me \u201canimal\u201d anormal\n<\/li>\n
      • Arri\u00e8re-plan :<\/strong> Soleil et montagnes\n<\/li>\n<\/ul>\n<\/li>\n
      • L\u2019image est tr\u00e8s sous-expos\u00e9e et masque des d\u00e9tails importants.\n<\/li>\n<\/ol>\n

        Les Mod\u00e8les font leur entr\u00e9e<\/h2>\n

        \nUne fois que LuminarAI<\/sup> a termin\u00e9 son analyse, il doit faire quelque chose des connaissances accumul\u00e9es sur l\u2019image. C\u2019est l\u00e0 que les Mod\u00e8les entrent en piste.\n<\/p>\n

        \nLes Mod\u00e8les sont bien plus que des pr\u00e9r\u00e9glages, en ce qu\u2019ils regroupent une vari\u00e9t\u00e9 de corrections et d\u2019am\u00e9liorations pour r\u00e9ussir un style presque accompli. Les Mod\u00e8les sont index\u00e9s pour \u00eatre accessibles facilement par l\u2019IA une fois l\u2019analyse termin\u00e9e.\n<\/p>\n

        \nDans notre exemple, voici comme l\u2019IA proc\u00e8de :\n<\/p>\n

          \n
        1. En fonction des besoins, l\u2019IA utilise les informations collect\u00e9es pour \u00e9tablir une s\u00e9rie de s\u00e9lections et de cartes de profondeur.\n<\/li>\n
        2. L\u2019IA utilise les points de donn\u00e9es collect\u00e9s \u00e0 propos de l\u2019image et les compare \u00e0 l\u2019index des Mod\u00e8les disponibles.\n<\/li>\n
        3. LuminarAI<\/sup> propose ensuite les Mod\u00e8les s\u00e9lectionn\u00e9s par l\u2019IA sous la forme d\u2019une liste d\u2019options \u00e0 examiner par le photographe.\n<\/li>\n
        4. Quand l\u2019utilisateur passe le curseur sur un Mod\u00e8le sugg\u00e9r\u00e9, il est appliqu\u00e9 \u00e0 l\u2019image en temps r\u00e9el. Les Mod\u00e8les utilisent les s\u00e9lections et les cartes de profondeur cr\u00e9\u00e9es plus t\u00f4t par l\u2019IA pour faire des retouches et am\u00e9liorer certains \u00e9l\u00e9ments sp\u00e9cifiques de l\u2019image.\n<\/li>\n
        5. Le photographe s\u00e9lectionne ensuite le Mod\u00e8le voulu et fait des ajustements suppl\u00e9mentaires pour correspondre \u00e0 sa vision. Dans de nombreux cas, la vision du photographe peut \u00eatre trouv\u00e9e avec un seul curseur qui ajuste l\u2019intensit\u00e9 du Mod\u00e8le.\n<\/li>\n<\/ol>\n

          \nLe r\u00e9sultat de ce processus est une image tr\u00e8s diff\u00e9rente qui refl\u00e8te \u00e9troitement la vision et le style du photographe.\n<\/p>\n

          <\/p>\n

          Attendez. Vous dites quand m\u00eame que \u00e7a ne remplace pas le cr\u00e9ateur ?<\/h2>\n

          \nNon.\n<\/p>\n

          \nC\u2019est toujours le photographe qui prend la photo brute, non retouch\u00e9e. Apr\u00e8s avoir analys\u00e9 cette photo, LuminarAI<\/sup> propose des mod\u00e8les qui selon lui feront ressortir le meilleur de celle-ci. Le photographe peut ensuite choisir le Mod\u00e8le qui correspond le mieux \u00e0 sa vision ou ne pas choisir de Mod\u00e8le et travailler directement dans le module Edition. Et m\u00eame si le photographe choisit un Mod\u00e8le, il peut toujours faire des ajustements suppl\u00e9mentaires pour finaliser son image.\n<\/p>\n

          \nL\u2019IA trouve simplement des options \u00e0 examiner pour l\u2019artiste, en se servant de ses connaissances sur l\u2019image en question et des r\u00e8gles techniques qui d\u00e9finissent une bonne image. <\/p>\n

          Tous les choix cr\u00e9atifs restent entre les mains de l\u2019artiste.
          \n<\/b><\/p>\n","protected":false},"excerpt":{"rendered":"

          Explorons comment Luminar AI est entra\u00een\u00e9, ce qu’il \u00abvoit\u00bb et comment il utilise ces informations.<\/p>\n","protected":false},"author":76,"featured_media":282510,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-282509","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"\nInterpr\u00e9tation des Images avec l\u2019IA pour Guider la Cr\u00e9ativit\u00e9<\/title>\n<meta name=\"description\" content=\"Explorons comment Luminar AI est entra\u00een\u00e9, ce qu'il \u00abvoit\u00bb et comment il utilise ces informations.\" \/>\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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