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.

World Labs, the startup founded by AI pioneer Fei-Fei Li, has unveiled its first project: an AI system that can generate video game-like, 3D scenes from a single image. Lots of AI systems can turn a ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A team of researchers from Adobe Research ...

Apple’s Machine Learning team, in collaboration with researchers from Nanjing University and The Hong Kong University of Science and Technology, has announced an interesting 3D AI model called ...

OpenAI, the Elon Musk-founded artificial intelligence startup behind popular DALL-E text-to-image generator, announced on Tuesday the release of its newest picture-making machine POINT-E, which can ...

Having already disrupted art-making with DALL-E and writing with ChatGPT, OpenAI remains intent on putting its mark on the 3D modeling space. In a recent paper from OpenAI, researchers Heewoo Jun and ...

The process of creating 3D models from 2D images has traditionally been associated with expensive software and advanced technical skills. However, Trellis, a free AI-powered tool, has transformed this ...

On Friday, researchers from Nvidia announced Magic3D, an AI model that can generate 3D models from text descriptions. After entering a prompt such as, "A blue poison-dart frog sitting on a water lily, ...

Why it matters: The creative industry needs a constant flux of content to keep fans happy, and that content needs to be created somehow. When it comes to 3D models, AI algorithms could provide a big ...

OpenAI‘s latest endeavor, Shap-E, is a model that allows you to generate 3D objects from text, not unlike how Dall-E can create 2D images. According to OpenAI, Shap-E is “a conditional generative ...

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 from the McKelvey School of Engineering ...