Honestly, NeRF generative AI could be incredible

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Shutterstock's photoreal CG video AI impresses. Shutterstock AI

reveal, trained on TurboSquid models, being part of Nvidia's keynote at Siggraph last week. The stock library also has an ethical base for its AI training, and offers a contributor fund that pays royalties to users who wish to sell their work. But it's the prospect of one of VFX's most complex and advanced technologies being available to everyone that feels genuinely exciting.

Creating 3D assets and scenes is complex and time consuming, something as photoreal as NeRF even more so. It's why Dade Orgeron, Vice President of Innovation at Shutterstock/Turbosquid told me how he believes 3D artists are more open to embracing AI tools. "As people start to use generative AI more and more, I think they're coming to the realisation that these tools still require a tremendous amount of work to get really results," he says."So I think people are becoming more comfortable with [AI]."

He also stresses how it's"really important for us to make sure that everyone has the opportunity to opt out and that they're compensated for the contribution". Shutterstock offers an opt out, it also offers royalty payments for any images or models used by others, and if you do upload your work it can be"ring fenced" and excluded from training.

So, with this in mind, why is NeRF AI so exciting? Traditionally realistic 3D scenes can take hours if not days to create and render. Using NeRF technology artists and AI an artist could build a photoreal scene that's indistinguishable from video in minutes.

 

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