--- title: "Google Creates AI That Turns Text Into 3D Objects" description: "DreamFusion, Google's new text-to-3D-image generator, is here — and we have to admit, it's impressive. Big fans of the ghost eating the hamburger prompt." date: "2022-10-02" modified: "2022-10-02" authors: - name: "Maggie Harrison Dupré" job_title: "Senior Staff Writer" link: "https://futurism.com/authors/mharrison" url: "https://futurism.com/the-byte/google-ai-text-into-3d-objects" categories: - "Artificial Intelligence" - "Google" tags: - "3d printing" - "ai" - "image generator" - "the digest" --- # Google Creates AI That Turns Text Into 3D Objects ![DreamFusion, Google's new text-to-3D-image generator, is here — and we have to admit, it's impressive. Big fans of the ghost eating the hamburger prompt.]() *\Image: Google\* ## DreamFusion DreamFusion, Google's next-gen, AI-powered text-to-*3D*-image generator, is here. Well, sort of. A [proof-of-concept paper is here](), at least. DreamFusion is an evolution of [Dream Fields](), a text-to-3D-image generator revealed by Google back in 2021. And like Dream Fields, DreamFusion creates its 3D images by combining a Neural Radiance Field (NeRF) — or a neural network that can create synthetic 3D scenes using partial 2D datasets — with a pre-trained text-to-image prompt model. The twist? Unlike Dream Fields, which utilized [OpenAI's CLIP technology]() as that latter pre-trained model, DreamFusion now uses its own: [Imagen](), Google's [DALL-E 2 competitor](). So, basically, Google booted Elon Musk's OpenAI tech and figured out how to use its own. Keeping things in-house — smart. "Happy to announce DreamFusion, our new method for Text-to-3D!" Ben Poole, a research scientist at Google Brain and co-author of the proof-of-concept paper, [wrote on Twitter](). "We optimize a NeRF from scratch using a pre-trained text-to-image diffusion model. No 3D data needed!" https://twitter.com/poolio/status/1575576632068214785 ## Ghost Eating a Hamburger While the DreamFusion models aren't totally realistic, they're admittedly pretty impressive — as its creators explain the paper, the AI-generated forms that are [shown off on its website]() are "coherent, with high-quality normals, surface geometry and depth, and are relightable with a Lambertian shading model." In other words, while they might not be as convincingly realistic as some of those photorealistic DALL-E 2 images (yet), they have all of the right elements. The proportions are right, the depth makes sense, and so on. And not to shade OpenAI, but this next version of the tech is certainly a visual improvement from its first iteration. It's unclear when DreamFusion — or whatever comes next — will be available to the public, though we can definitely see a number of applications already. Just think of the value to indie game developers alone! And [according to Twitter](), it's already been used to 3D-print a ghost eating a hamburger, so cheers to that. **More on text-to-image generators:** *[Researcher Says an Image Generating AI Invented Its Own Language]()* ## Author At Futurism, I've reported extensively on the rise of AI as a cultural and business force shaping the media industry, and more broadly how those dynamics are changing how we all consume and share information and relate to one another. I'm also fascinated by public health policy and ethics, the role of emerging tech in politics and governance — and the powerful people and forces at those intersections — climate change, and the environment. My investigation on Sports Illustrated's use of AI-generated authors with fictional biographies won a 2024 Mirror Award for "Best Story on Media Coverage of Artificial Intelligence in Journalism and the Media" from Syracuse University's SI Newhouse School, I contributed to Niemen Lab's 2025 Predictions for Journalism series, and I've discussed my work for Futurism during appearances on NPR, CNN, the BBC, the CBC, and more. I grew up in rural Pennsylvania and attended the University of Massachusetts Amherst, where I played Division I field hockey for the Minutewomen as a midfielder. Since then, I've lived in New Orleans, Louisiana and Manhattan, New York. I spend my free time running, reading, perusing archival fashion, and searching for the world’s best negroni. I also have a debonair tuxedo cat, Westley, who's named after "The Princess Bride." ### Author social links [Bluesky]()