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CNS-Edit++: Category-Agnostic 3D Editing with Coupled Neural Shape Representation

A new 3D editing framework, CNS-Edit++, pushes neural shape manipulation beyond single categories and into foundation-model territory. It couples a global latent code with a 3D neural feature volume so creators can copy, resize, delete, mix, and drag shapes while preserving surrounding geometry. The practical upside is finer control over generative 3D assets without retraining for each object class.

First reported 1 month, 4 weeks ago • 3d graphics generative ai asset editing neural rendering
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arXiv cs.GR arXiv cs.GR

CNS-Edit++: Category-Agnostic 3D Editing with Coupled Neural Shape Representation

1 month, 4 weeks ago Read source
arXiv cs.GR arXiv cs.GR 1% match

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