Washington University in St. Louis. "Machine learning generates 3D model from 2D pictures." ScienceDaily. ScienceDaily, 19 September 2022. <www.sciencedaily.com / releases / 2022 / 09 ...

Researchers at NVIDIA have come up with a clever machine learning technique for taking 2D images and fleshing them out into 3D models. Normally this happens in reverse—these days, it's not all ...

By using a large dataset to train a machine learning algorithm, researchers from Adobe and the Australian National University have created a technology that could do wonders for 3D model creation.

The next breakthrough to take the AI world by storm might be 3D model generators. This week, OpenAI open sourced Point-E, a machine learning system that creates a 3D object given a text prompt.

Obviously the machine learning tool requires more work, yet provides a fantastic glimpse at what we can expect in the future for the creation of 3D models. Now that 2D images so easy to create ...

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 ...

Apple's 'Ferret' is a new open-source machine learning model. Malcolm Owen. 1. e-mail Facebook BlueSky Reddit X. ... Reddit's r/Apple spotted that Ferret is "trained on 8 A100 GPUs with 80GB memory." ...

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.