![]() 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." Joint work w/ the incredible team of #dreamfusion /YeG0zaFxuu We optimize a NeRF from scratch using a pretrained text-to-image diffusion model. ![]() Happy to announce DreamFusion, our new method for Text-to-3D! "We optimize a NeRF from scratch using a pre-trained text-to-image diffusion model. "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. So, basically, Google booted Elon Musk's OpenAI tech and figured out how to use its own. 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. 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. ![]() DreamFusion is an evolution of Dream Fields, a text-to-3D-image generator revealed by Google back in 2021. ![]() A proof-of-concept paper is here, at least. DreamFusion, Google's next-gen, AI-powered text-to- 3D-image generator, is here.
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