![]() ![]() 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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