{"id":11723,"date":"2024-04-25T06:37:16","date_gmt":"2024-04-25T06:37:16","guid":{"rendered":"https:\/\/dailyai.com\/?p=11723"},"modified":"2024-04-25T06:43:49","modified_gmt":"2024-04-25T06:43:49","slug":"adobes-videogigagan-upscales-blurry-video-to-look-8x-sharper","status":"publish","type":"post","link":"https:\/\/dailyai.com\/it\/2024\/04\/adobes-videogigagan-upscales-blurry-video-to-look-8x-sharper\/","title":{"rendered":"VideoGigaGAN di Adobe consente di aumentare la qualit\u00e0 dei video sfocati fino a renderli 8 volte pi\u00f9 nitidi"},"content":{"rendered":"<p><strong>I ricercatori di Adobe hanno presentato VideoGigaGAN, un modello di intelligenza artificiale generativa in grado di scalare i video sfocati in video nitidi e fluidi che appaiono fino a 8 volte pi\u00f9 nitidi.<\/strong><\/p>\n<p>Da tempo disponiamo di ottimi upscaler di immagini, ma realizzare un buon upscaler video \u00e8 esponenzialmente pi\u00f9 difficile.<\/p>\n<p>La super-risoluzione video (VSR) \u00e8 il processo che consiste nel prendere i singoli fotogrammi di un video, aumentarne la risoluzione e i dettagli, e unire i fotogrammi per ricreare il video.<\/p>\n<p>Per farlo bene occorre risolvere due problemi contrastanti. I VSR attuali generano video fluidi e sfocati, oppure nitidi e con problemi.<\/p>\n<p>VideoGigaGAN di Adobe esegue il campionamento di video sfocati per produrre un video che sia coerente dal punto di vista temporale (transizioni fluide tra i fotogrammi) e con dettagli ad alta frequenza.<\/p>\n<p>Ecco un esempio di cosa pu\u00f2 fare VideoGigaGAN.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">La ricerca Adobe abbandona VideoGigaGAN<\/p>\n<p>Consente di effettuare un upsample dei video di 8 volte con dettagli migliorati.<\/p>\n<p>Carta nei commenti \ud83d\udc47 <a href=\"https:\/\/t.co\/7uEiU7bYqw\">pic.twitter.com\/7uEiU7bYqw<\/a><\/p>\n<p>- Kris Kashtanova (@icreatelife) <a href=\"https:\/\/x.com\/icreatelife\/status\/1782434918343029235?ref_src=twsrc%5Etfw\">22 aprile 2024<\/a><\/p><\/blockquote>\n<p>Come suggerisce il nome, il metodo di Adobe si basa su GigaGAN, una rete generativa avversaria (GAN) avanzata.<\/p>\n<p>Le GAN sono ottime per l'upsampling delle immagini e GigaGAN \u00e8 una delle migliori per la super-risoluzione delle immagini. Quindi, perch\u00e9 non usare semplicemente GigaGAN su ogni fotogramma per aumentare la scala dell'immagine e poi metterli tutti insieme per creare il video?<\/p>\n<p>Quando i ricercatori di Adobe ci hanno provato, hanno ottenuto un'ottima risoluzione video, ma il video risultante era temporalmente incoerente e sfarfallava.<\/p>\n<p>Aggiungendo strati convoluzionali temporali e di attenzione al GigaGAN, l'incoerenza temporale \u00e8 stata risolta, ma lo sfarfallio era ancora un problema.<\/p>\n<p>VideoGigaGAN risolve questo problema separando gli elementi a bassa e ad alta frequenza in ogni fotogramma ed elaborandoli in modo diverso.<\/p>\n<p>La mappa delle caratteristiche a bassa frequenza viene smussata per rimuovere i dettagli ad alta frequenza, che possono essere fonte di rumore e sfarfallio.<\/p>\n<p>Utilizzando le connessioni Skip, i dettagli pi\u00f9 fini delle componenti ad alta frequenza vengono mantenuti bypassando gli strati intermedi del modello che altrimenti andrebbero persi nell'elaborazione.<\/p>\n<p>Per ulteriori informazioni sui dettagli tecnici, consultare il sito <a href=\"https:\/\/arxiv.org\/pdf\/2404.12388.pdf\" target=\"_blank\" rel=\"noopener\">Il documento di Adobe<\/a>.<\/p>\n<p>Il <a href=\"https:\/\/videogigagan.github.io\/\" target=\"_blank\" rel=\"noopener\">demo su GitHub di Adobe<\/a> sono davvero impressionanti. Adobe non ha accennato a una data di rilascio, ma speriamo che ce lo facciano usare presto.<\/p>\n<p>Immaginate cosa potrebbe fare uno strumento del genere per i filmati storici d'archivio, i film classici o persino per l'upscaling dei vostri vecchi programmi televisivi preferiti in HD.<\/p>","protected":false},"excerpt":{"rendered":"<p>I ricercatori di Adobe hanno presentato VideoGigaGAN, un modello di intelligenza artificiale generativa in grado di eseguire l'upscaling di video sfocati in video nitidi e fluidi, che appaiono fino a 8 volte pi\u00f9 nitidi. Da tempo disponiamo di ottimi upscaler di immagini, ma realizzare un buon upscaler video \u00e8 esponenzialmente pi\u00f9 difficile. La super-risoluzione video (VSR) \u00e8 il processo che consiste nel prendere i singoli fotogrammi di un video, aumentarne la risoluzione e i dettagli, e unire i fotogrammi per ricreare il video. Per farlo bene occorre risolvere due problemi contrastanti. I VSR attuali generano video lisci e sfocati, oppure nitidi e con problemi. VideoGigaGAN di Adobe esegue l'upsampling di video sfocati per produrre<\/p>","protected":false},"author":6,"featured_media":11729,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[96,107],"class_list":["post-11723","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-adobe","tag-generative-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Adobe\u2019s VideoGigaGAN upscales blurry video to look 8x sharper | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/it\/2024\/04\/adobes-videogigagan-upscales-blurry-video-to-look-8x-sharper\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Adobe\u2019s VideoGigaGAN upscales blurry video to look 8x sharper | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Adobe researchers unveiled VideoGigaGAN, a generative AI model that can upscale blurry videos into crisp, smooth video that looks up to 8x sharper. We\u2019ve had really good image upscalers for a while now, but making a good video upscaler is exponentially more difficult. Video Super Resolution (VSR) is the process of taking individual frames of a video, upscaling the resolution and detail, and fitting the frames together to recreate the video. Doing this well involves solving two conflicting challenges. Current VSRs either generate video that is smooth and blurry, or sharp and glitchy. Adobe\u2019s VideoGigaGAN upsamples blurry video to produce\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/it\/2024\/04\/adobes-videogigagan-upscales-blurry-video-to-look-8x-sharper\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-04-25T06:37:16+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-04-25T06:43:49+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/blurry-to-focused.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Eugene van der Watt\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta 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