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Zero-Shot Text-Guided Object Generation with Dream Fields
[article]
2022
arXiv
pre-print
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
arXiv:2112.01455v2
fatcat:z3mktn6omfcg7hhwcfnowg2p7a