2021

Zero-Shot Text-Guided Object Generation with Dream Fields

Jain, Ajay, Mildenhall, Ben, Barron, Jonathan T. et al.

Understand

We combine neural rendering with multi-modal image and text representations to synthesize diverse 3D objects solely from natural language descriptions.

  • Our method, Dream Fields, can generate the geometry and color of a wide range of objects without 3D supervision.
  • Due to the scarcity of diverse, captioned 3D data, prior methods only generate objects from a handful of categories, such as ShapeNet.
  • Instead, we guide generation with image-text models pre-trained on large datasets of captioned images from the web.

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