{"id":2935,"date":"2023-04-04T14:51:23","date_gmt":"2023-04-04T14:51:23","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2023\/04\/04\/video-editor-patrick-stirling-invents-custom-effect-for-davinci-resolve-software\/"},"modified":"2023-04-04T14:51:23","modified_gmt":"2023-04-04T14:51:23","slug":"video-editor-patrick-stirling-invents-custom-effect-for-davinci-resolve-software","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2023\/04\/04\/video-editor-patrick-stirling-invents-custom-effect-for-davinci-resolve-software\/","title":{"rendered":"Video Editor Patrick Stirling Invents Custom Effect for DaVinci Resolve Software"},"content":{"rendered":"
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Editor\u2019s note: This post is part of our weekly <\/i>In the NVIDIA Studio<\/i><\/a> series, which celebrates featured artists, offers creative tips and tricks, and demonstrates how <\/i>NVIDIA Studio<\/i><\/a> technology improves creative workflows. We\u2019re also deep diving on new <\/i>GeForce RTX 40 Series GPU<\/i><\/a> features, technologies and resources, and how they dramatically accelerate content creation.<\/i><\/p>\n

AI-powered technology in creative apps, once considered nice to have, is quickly becoming essential for aspiring and experienced content creators.<\/p>\n

Video editor Patrick Stirling used the Magic Mask <\/i>feature in Blackmagic Design\u2019s DaVinci Resolve software to create a custom effect that creates textured animations of people, this week In the NVIDIA Studio<\/i>.<\/p>\n<\/p>\n

\u201cI wanted to use \u2018Magic Mask\u2019 to replace subjects with textured, simplified, cut-out versions of themselves,\u201d said the artist. \u201cThis style is reminiscent of construction-paper creations that viewers might have played with in childhood, keeping the energy of a scene while also pulling attention away from any specific features of the subject.\u201d<\/p>\n

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Stirling\u2019s effect creates textured, animated characters.<\/figcaption><\/figure>\n

Stirling\u2019s original attempts to implement this effect were cut short due to the limitations of his six-year-old system. So Stirling built his first custom PC \u2014 equipped with a GeForce RTX 4080 GPU \u2014 to tackle the challenge. The difference was night and day, he said.<\/p>\n

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Stirling\u2019s effect on full display in DaVinci Resolve.<\/figcaption><\/figure>\n

\u201cI was able to find and maintain a creative flow so much more easily when I didn\u2019t feel like I was constantly running into a wall and waiting for my system to catch up,\u201d said Stirling.<\/p>\n

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\u201cWhile the raw power of RTX GPUs is incredible, the work NVIDIA does to improve working in DaVinci Resolve, specifically, is really impressive. It\u2019s extremely reassuring to know that I have the power to build complex effects.\u201d \u2014 Patrick Stirling<\/p>\n<\/div>\n

The AI-powered Magic Mask <\/i>feature, which allows quick selection of objects and people in a scene, was accelerated by his RTX 4080 GPU, delivering up to a 2x increase in AI performance over the previous generation. \u201cThe GPU also provides the power the DaVinci Neural Engine needs for some of these really cool effects,\u201d said Stirling.<\/p>\n

Stirling opened a short clip within the RTX GPU-accelerated Fusion page in DaVinci Resolve, a node-based workflow with hundreds of 2D and 3D tools. Nodes are popular as they make video editing a completely procedural process \u2014 allowing for non-linear, non-destructive workflows.<\/p>\n

He viewed edits in real time using two windows opened side by side, with original footage on the left and node modifications on the right.<\/p>\n

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Original footage and node-based modifications, side by side.<\/figcaption><\/figure>\n

Stirling then drew blue lines to apply Magic Mask<\/i> to each surface on the subject that he wanted to layer. As its name suggests, Magic Mask<\/i> works like magic, but it\u2019s not perfect. When the effect masked more than the extended jacket layer, Stirling drew a secondary red line to designate what not <\/i>to capture in that area.<\/p>\n

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The suit-jacket layer is masked as intended.<\/figcaption><\/figure>\n

He applied similar techniques to the dress shirt, hands, beard, hair and facial skin. The artist then added generic colored backgrounds with Background <\/i>nodes on each layer to complete his 2D character.<\/p>\n

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Textures provide contrast to the scene.<\/figcaption><\/figure>\n

Stirling used Merge<\/i> nodes to combine background and foreground images. He deployed the Fast Noise<\/i> node to create two types of textures for the 2D man and the real-life footage, providing more contrast for the visual.<\/p>\n

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Organizing nodes is important to this creative workflow.<\/figcaption><\/figure>\n

Stirling then added a color corrector to tweak saturation, his RTX GPU accelerating the process. He completed his video editing by combining the Magic Mask<\/i> effect and all remaining nodes \u2014 Background<\/i>, Merge<\/i> and Fast Noise<\/i>.<\/p>\n

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\u201cDaVinci Resolve and the GeForce RTX 4080 feel like a perfect fit,\u201d said Stirling.<\/figcaption><\/figure>\n

When it\u2019s time to wrap up the project, Stirling can deploy the RTX 4080 GPU\u2019s dual AV1 video encoders \u2014 which would cut export times in half.<\/p>\n

Stirling encourages aspiring content creators to \u201cstay curious\u201d and \u201cnot ignore the value of connecting with other creative people.\u201d<\/p>\n

\u201cRegularly being around people doing the same kind of work as you will constantly expose new methods and approaches for your own creative projects,\u201d he said.<\/p>\n

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Video editor Patrick Stirling.<\/figcaption><\/figure>\n

Check out Stirling\u2019s YouTube channel<\/a> for DaVinci Resolve tutorials.<\/p>\n

Follow NVIDIA Studio on <\/i>Instagram<\/i><\/a>, <\/i>Twitter<\/i><\/a> and <\/i>Facebook<\/i><\/a>. Access tutorials on the <\/i>Studio YouTube channel<\/i><\/a> and get updates directly in your inbox by subscribing to the <\/i>Studio<\/i><\/a> newsletter.<\/i><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

https:\/\/blogs.nvidia.com\/blog\/2023\/04\/04\/davinci-resolve-fusion-ai-effects\/<\/p>\n","protected":false},"author":0,"featured_media":2936,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2935"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=2935"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2935\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/2936"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=2935"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=2935"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=2935"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}