{"id":279446,"date":"2024-04-26T03:27:04","date_gmt":"2024-04-26T10:27:04","guid":{"rendered":"https:\/\/sftarticles.wpenginepowered.com\/es\/?p=331073"},"modified":"2025-07-01T16:37:52","modified_gmt":"2025-07-01T23:37:52","slug":"this-is-adobes-new-technology-that-will-make-your-videos-look-better-than-ever-before","status":"publish","type":"post","link":"https:\/\/cms-articles.softonic.io\/en\/this-is-adobes-new-technology-that-will-make-your-videos-look-better-than-ever-before\/","title":{"rendered":"This is Adobe’s new technology that will make your videos look better than ever before."},"content":{"rendered":"\n

Researchers at Adobe<\/strong> have developed an artificial intelligence model called VideoGigaGAN<\/strong>, capable of increasing the resolution of blurry videos up to eight times their original resolution<\/strong>. Adobe claims in an article<\/a> published a few days ago that VideoGigaGAN outperforms other video super-resolution (VSR) methods by providing more precise details without introducing typical AI anomalies<\/strong> in the sequences.<\/p>\n\n

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While generative adversarial networks (GANs) are effective at increasing the resolution of static images, they face serious difficulties when applied to videos, generating flickering and unwanted artifacts (visual imperfections).<\/p>\n\n\n

VideoGigaGAN aims to offer the best of both worlds: the image\/video quality of GAN models with fewer artifacts<\/strong>. Adobe has provided several examples that showcase their work at full resolution, where the results are incredibly natural<\/strong>, challenging the perception of whether generative AI has been used. In these examples, VideoGigaGAN’s ability to increase videos from 124×124 to 1024×1024<\/strong> is demonstrated, highlighting subtle details that, when scaled, do not appear artificial at all, such as skin texture and folds.<\/p>\n\n\n

It is important to note that these results are part of a preview<\/strong> and there is no guarantee that Adobe will make VideoGigaGAN available to consumers through Premiere Pro<\/a><\/strong> or other Creative Cloud programs. In October 2023, during the MAX event<\/strong><\/a>, Adobe introduced Project Res-Up, another experiment to improve the quality of videos and moving images based on a diffusion model, which also aims to enhance the quality of low-resolution GIFs and videos.<\/p>\n\n\n

However, Adobe is not the only company in this field, as both Microsoft and Nvidia have also developed their own VSR scaling technology<\/strong>. These innovations indicate a growing focus on improving video quality through AI, which could have a significant impact on the entertainment and multimedia production industry in the future.<\/p>\n\n

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Researchers at Adobe have developed an artificial intelligence model called VideoGigaGAN, capable of increasing the resolution of blurry videos up to eight times their original resolution. Adobe claims in an article published a few days ago that VideoGigaGAN outperforms other video super-resolution (VSR) methods by providing more precise details without introducing typical AI anomalies in … Continue reading “This is Adobe’s new technology that will make your videos look better than ever before.”<\/span><\/a><\/p>\n","protected":false},"author":9256,"featured_media":279448,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","wpcf-pageviews":1},"categories":[1015],"tags":[3171],"usertag":[],"vertical":[],"content-category":[],"class_list":["post-279446","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-app-subdomain-redirectionadobe-premiere"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/279446","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/users\/9256"}],"replies":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/comments?post=279446"}],"version-history":[{"count":1,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/279446\/revisions"}],"predecessor-version":[{"id":313543,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/279446\/revisions\/313543"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media\/279448"}],"wp:attachment":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media?parent=279446"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/categories?post=279446"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/tags?post=279446"},{"taxonomy":"usertag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/usertag?post=279446"},{"taxonomy":"vertical","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/vertical?post=279446"},{"taxonomy":"content-category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/content-category?post=279446"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}