AI can now generate 3D Models!
AI can now generate 3D Models! #shorts
DreamFusion 3D AI is Google AI research into generating 3D objects from text prompts, and is based off 2D diffusion models.
How does DreamFusion AI work?
Given a caption, DreamFusion uses a text-to-image generative model called Imagen to optimize a 3D scene. They propose Score Distillation Sampling (SDS), a way to generate samples from a diffusion model by optimizing a loss function. SDS allows us to optimize samples in an arbitrary parameter space, such as a 3D space, as long as we can map back to images differentiably. They use a 3D scene parameterization similar to Neural Radiance Fields, or NeRFs, to define this differentiable mapping. SDS alone produces reasonable scene appearance, but DreamFusion adds additional regularizers and optimization strategies to improve geometry. The resulting trained NeRFs are coherent, with high-quality normals, surface geometry and depth, and are relightable with a Lambertian shading model.
As it is a research project, you cannot enter text prompts and get the 3D Models.
However, you can try looking at some 3D Models created by DreamFusion AI here: https://dreamfusion3d.github.io/
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