Ben Poole Profile picture
Sep 29, 2022 8 tweets 5 min read Read on X
Happy to announce DreamFusion, our new method for Text-to-3D!

dreamfusion3d.github.io

We optimize a NeRF from scratch using a pretrained text-to-image diffusion model. No 3D data needed!

Joint work w/ the incredible team of @BenMildenhall @ajayj_ @jon_barron

#dreamfusion
DreamFusion generates 3D models from diverse text prompts. Check out our gallery of hundreds of 3D models:
dreamfusion3d.github.io/gallery.html
We build on Dream Fields, replacing CLIP with a new loss computed from the Imagen text-to-image diffusion model (imagen.research.google) :
The 3D model we generate is an improved NeRF that produces a 3D volume with density, color, and surface normals:
DreamFusion represents appearance as a material color, which can be combined with normals for rendering under different lighting conditions:
We can even take several 3D models generated by DreamFusion and compose them into new scenes:
Check out the paper for more details, including a distillation-based loss function that could enable many new applications of pretrained diffusion models: arxiv.org/abs/2209.14988
This was an incredibly fun team effort w/ NeRF wizards @BenMildenhall & @jon_barron, and NeRF + diffusion expert @ajayj_ (graduating this year!).

We're excited to incorporate our methods with open source models and enable a new future for 3D generation! 🚀
#dreamfusion

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