Learning Implicit Fields for Generative Shape Modeling

CVPR 2019 Zhiqin ChenHao Zhang

We advocate the use of implicit fields for learning generative models of shapes and introduce an implicit field decoder, called IM-NET, for shape generation, aimed at improving the visual quality of the generated shapes. An implicit field assigns a value to each point in 3D space, so that a shape can be extracted as an iso-surface... (read more)

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