{"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\/nb\/2024\/04\/adobes-videogigagan-upscales-blurry-video-to-look-8x-sharper\/","title":{"rendered":"Adobes VideoGigaGAN oppskalerer uskarp video slik at den ser 8 ganger skarpere ut"},"content":{"rendered":"<p><strong>Adobes forskere har avduket VideoGigaGAN, en generativ AI-modell som kan oppskalere uskarpe videoer til skarpe, jevne videoer som ser opptil 8 ganger skarpere ut.<\/strong><\/p>\n<p>Vi har hatt virkelig gode bildeoppskalerere en stund n\u00e5, men det er mye vanskeligere \u00e5 lage en god videooppskalerer.<\/p>\n<p>Video Super Resolution (VSR) er en prosess der man tar individuelle bilder av en video, oppskalerer oppl\u00f8sningen og detaljene, og setter bildene sammen for \u00e5 gjenskape videoen.<\/p>\n<p>For \u00e5 f\u00e5 til dette p\u00e5 en god m\u00e5te m\u00e5 vi l\u00f8se to motstridende utfordringer. Dagens VSR-er genererer enten video som er jevn og uskarp, eller skarp og feilaktig.<\/p>\n<p>Adobes VideoGigaGAN oppsamler uskarp video for \u00e5 produsere en video som b\u00e5de er tidsmessig konsistent (jevne bildeoverganger) og har h\u00f8yfrekvente detaljer.<\/p>\n<p>Her er et eksempel p\u00e5 hva VideoGigaGAN kan gj\u00f8re.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">Adobe Research dropper VideoGigaGAN<\/p>\n<p>Den lar deg oppsamle video med 8x med forbedrede detaljer.<\/p>\n<p>Papir i kommentarfeltet \ud83d\udc47 <a href=\"https:\/\/t.co\/7uEiU7bYqw\">pic.twitter.com\/7uEiU7bYqw<\/a><\/p>\n<p>- Kris Kashtanova (@icreatelife) <a href=\"https:\/\/twitter.com\/icreatelife\/status\/1782434918343029235?ref_src=twsrc%5Etfw\">22. april 2024<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>Som navnet antyder, baserer Adobes metode seg p\u00e5 GigaGAN, et avansert generativt adversarisk nettverk (GAN).<\/p>\n<p>GAN er gode til \u00e5 oppskalere bilder, og GigaGAN er en av de beste p\u00e5 superoppl\u00f8sning av bilder. S\u00e5 hvorfor ikke bare bruke GigaGAN p\u00e5 hvert bilde for \u00e5 oppskalere bildet, og deretter sette dem sammen til en video?<\/p>\n<p>Da Adobes forskere fors\u00f8kte dette, oppn\u00e5dde de god videooppl\u00f8sning, men den resulterende videoen var tidsmessig inkonsekvent og flimret.<\/p>\n<p>Ved \u00e5 legge til temporale konvolusjons- og oppmerksomhetslag i GigaGAN ble den temporale inkonsistensen l\u00f8st, men flimringen var fortsatt et problem.<\/p>\n<p>VideoGigaGAN l\u00f8ser dette ved \u00e5 skille mellom lavfrekvente og h\u00f8yfrekvente elementer i hvert bilde og behandle disse p\u00e5 forskjellige m\u00e5ter.<\/p>\n<p>Lavfrekvenskartet glattes for \u00e5 fjerne h\u00f8yfrekvente detaljer, som kan v\u00e6re kilder til st\u00f8y og flimring.<\/p>\n<p>Ved hjelp av Skip connections beholdes de finere detaljene i h\u00f8yfrekvente komponenter ved \u00e5 omg\u00e5 de midterste lagene i modellen, som ellers ville g\u00e5tt tapt i prosesseringen.<\/p>\n<p>Du kan lese mer om de tekniske detaljene i <a href=\"https:\/\/arxiv.org\/pdf\/2404.12388.pdf\" target=\"_blank\" rel=\"noopener\">Adobes artikkel<\/a>.<\/p>\n<p>Den <a href=\"https:\/\/videogigagan.github.io\/\" target=\"_blank\" rel=\"noopener\">demoer p\u00e5 Adobes GitHub<\/a> er veldig imponerende. Adobe har ikke antydet noen lanseringsdato, men la oss h\u00e5pe de lar oss bruke den snart.<\/p>\n<p>Tenk deg hva et slikt verkt\u00f8y kan gj\u00f8re for historiske arkivopptak, klassiske filmer eller til og med oppskalering av gamle TV-programmer til HD.<\/p>","protected":false},"excerpt":{"rendered":"<p>Adobes forskere har avduket VideoGigaGAN, en generativ AI-modell som kan oppskalere uskarpe videoer til skarp, jevn video som ser opptil 8 ganger skarpere ut. Vi har hatt virkelig gode bildeoppskalerere en stund n\u00e5, men det er eksponentielt vanskeligere \u00e5 lage en god videooppskalerer. Video Super Resolution (VSR) er en prosess der man tar enkeltbilder av en video, oppskalerer oppl\u00f8sningen og detaljene, og setter bildene sammen for \u00e5 gjenskape videoen. For \u00e5 gj\u00f8re dette p\u00e5 en god m\u00e5te m\u00e5 man l\u00f8se to motstridende utfordringer. Dagens VSR-er genererer enten video som er jevn og uskarp, eller skarp og feilaktig. Adobes VideoGigaGAN oppsamler uskarp video for \u00e5 produsere<\/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 v27.4 - 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\/nb\/2024\/04\/adobes-videogigagan-upscales-blurry-video-to-look-8x-sharper\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\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\/nb\/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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