If you're looking for a quick and easy project in Blender, or just need to create a 3D model from a 2D reference image, then we've got you covered!

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.

Adobe's Large Reconstruction Model can generate 3D models from 2D images in 5 seconds, representing a major advance in 3D reconstruction.

Apple's Machine Learning Research wing has developed a foundational AI model "for zero-shot metric monocular depth estimation." Depth Pro enables high-speed generation of detailed 3D depth maps ...

Previous 3D-generation models were trained on small-scale datasets focused on a single image category, the researchers explain in their paper.

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 ...

Nvidia Research and others collaborated to create the DIB-R framework that can predict 3D properties from 2D images to create 3D models.

Even 3D modelling software is using AI art generators. Stability AI has introduced a Stability for Blender tool that, as the name implies, brings Stable Diffusion's image creation tech to the open ...

Nvidia Corp. today revealed that it has created a new deep learning application that can take a standard 2D image and transform it into an extremely realistic 3D model, one that can be visualized ...