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Google’s DreamFusion is a Text-to-3D Model that will Challenge Your Imagination
A clever use of diffusion models to generage 3D objects.
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Generative AI has been enjoying an impressive renaissance fundamentally triggered by the emergence of diffusion architectures. DALL-E 2, Midjourney, Stable Diffusion, Imagen are some of the diffusion-based models that are reaching impressive milestones in areas such as text-to-image or text-to-video. Text-to-3D is often mentioned as one of the next frontier for diffusion techniques but the path is not so trivial. Recently, Google unveiled DreamFusion, a diffusion based neural network that is able to generate realistic 3D representations from text inputs.
