In the wake of overwhelming public response to recent offerings DALL-E 2 and ChatGPT, OpenAI this week introduced Point-E, a text-to-3D model generator that is garnering positive feedback. Faster and less resource intensive than comparable systems, it’s still in the early stages and prone to occasional disjointed results but has advanced the proposition. Using a single Nvidia V100 GPU, Point-E can create a 3D model in under two minutes, generating “point clouds” — data sets representing a 3D shape. Point clouds compute more easily than the wire-fame meshes traditionally used to model 3D objects. Continue reading OpenAI’s Point-E Offers a New Take on Text-to-3D Modeling

Google Research is touting new advances in artificial intelligence, which can now generate its own code and write fiction, in addition to better text-to-video and language translation. At a New York media event at Google’s Pier 57 office — which opened earlier this year to become the company’s third Manhattan outpost — roughly a dozen projects in various stages of development were on display, with robot learning, LaMDA (language model for dialogue applications) and text-generated 3D images sharing the spotlight with practical AI for things like disaster management, weather forecasts and healthcare. Continue reading Google Shows Off Impressive Range of AI at NY Media Event

AI image generators like OpenAI’s DALL-E 2 and Google’s Imagen have been generating a lot of attention recently. Now AI text-to-video generators are edging into the spotlight, with Google debuting Imagen Video on the heels of Meta AI’s Make-A-Video rollout last month. Imagen Video has been used to generate videos of up to 25-minutes at a 24 fps, 1280×768 pixel spec. Imagen Video was trained “on a combination of an internal dataset consisting of 14 million video-text pairs and 60 million image-text pairs,” resulting in some unusual functionality, according to Google Research. Continue reading Google and Meta Are Developing AI Text-to-Video Generators