Nuke 13 is Powered by Machine Learning

Foundry announced the launch of Nuke 13.

The latest version of Nuke 13 brings a flexible machine learning toolset, a new Hydra 3D viewport renderer and extended monitor out functionality, enhanced workflows for collaborative review, Python 3 support, and more. 

Developed by Foundry’s A.I. Research team, the new machine learning toolset allows artsts to create different effects with a high-quality result in relatively little time. The new toolkit supports upres, removing motion blur, tracker marker removal, beauty work, garbage matting, and more.

Machine learning features:

  • CopyCat - an artist can create an effect on a small number of frames in a sequence and train a network to replicate this effect with the CopyCat node. 
  • Inference - is the node that runs the neural networks produced by Copy Cat, applying the model to your image sequence or another sequence.  
  • Upscale and Deblur - two new tools for common compositing tasks were developed using the ML methodology behind CopyCat and open-source MLServer. 

The update also introduces Hydra support within Nuke’s 3D viewport for a higher quality image much closer to Scanline Renderer’s output. 

“This release presents the biggest step forward for artists using Nuke. Nuke 13.0 combines what we’ve learned from studios over the last year by introducing new technologies that expand what’s possible within Nuke while maintaining the creative workflows and technical control that artists love. With the new machine learning toolset, we are putting the power of machine learning directly into the hands of artists as they can now create bespoke tools to enable them to stay creative, while also addressing the most common VFX challenges for creating high-quality shots," said Christy Anzelmo, Senior Director of Product, Foundry.

You can learn more by visiting the Nuke releases page. Don't forget to join our new Telegram channel, our Discord, follow us on Instagram and Twitter, where we are sharing breakdowns, the latest news, awesome artworks, and more.

Preview art by Constantin Vilsmeier

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