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.

Researchers have uncovered how primate brains transform flat, 2D visual inputs into rich, 3D mental representations of ...

A new AI tool harnessing machine learning is capable of converting 2D images into 3D models that can be taken into Blender and other similar ...

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 ...

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.

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 ...

Yale researchers have discovered a process in the primate brain that sheds new light on how visual systems work and could ...

Most recently, Tencent launched its open source 3D generation model, designed to generate 3D models through text prompts or 2D images.

OpenAI has released Point-E, an open source AI system that can generate 3D point clouds given a text prompt.

Learn how to create 3D models from 2D images with Trellis AI. Free, easy-to-use, and perfect for quick prototyping or hobby projects.

Researchers working for Apple and from Cornell University quietly pushed an open-source multimodal LLM in October, a research release called "Ferret" that can use regions of images for queries.

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.