This artist-focused shot-specific approach enables the creation of high-quality, bespoke models relatively quickly within Nuke without custom training environments, complex network permissions, or sending data to the cloud. Key components of the machine learning toolset include:Ĭop圜at – 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 Cop圜at node. It allows artists to harness the power of machine learning directly in the software.
Applications of the flexible toolset include upres, removing motion blur, tracker marker removal, beauty work, and garbage matting. research team, Nuke 13 enables artists to create bespoke effects with a high-quality result in relatively little time. The release introduces a flexible machine learning toolset, a new Hydra 3D viewport renderer and extended monitor out functionality, enhanced workflows for collaborative review, and Python 3 support.ĭeveloped by Foundry’s A.I. Foundry, the developer of creative software for the media and entertainment industries, recently announced the release of Nuke 13.
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