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Enabling users to create 3D models from 2D images. While there are areas for improvement, the tool’s potential for enhancing the efficiency of 3D creation and opening up new opportunities is ...
A neural field network can create a continuous 3D model from a limited number of 2D images, and it does it without being trained on other samples. Share: Facebook Twitter Pinterest LinkedIN Email.
A team has created an application called PartCrafter that creates 3D models, in single or multiple parts, using AI based on 2D images for input.
It's already proven effective for 2D image recreation, and according to MarketTechPost, researchers at Stanford have put it to work creating powerful 3D images. The researchers call this AI model ...
The VFusion3D foundation model has been trained with nearly 3 million "synthetic multi-view data," the researchers say, and is now capable of generating a new 3D asset from a single (2D, we assume ...
An AI method enables the generation of sharp, high-quality 3D shapes that are closer to the quality of the best 2D image models. Previous approaches typically generated blurry or cartoonish 3D shapes.
A neural field network developed at Washington University in St. Louis, can create a continuous 3D model from a limited number of 2D images, and it does it without being trained on other samples.