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Generation High resolution 3D model from natural language by Generative Adversarial Network
[article]
2019
arXiv
pre-print
We present a method of generating high resolution 3D shapes from natural language descriptions. To achieve this goal, we propose two steps that generating low resolution shapes which roughly reflect texts and generating high resolution shapes which reflect the detail of texts. In a previous paper, the authors have shown a method of generating low resolution shapes. We improve it to generate 3D shapes more faithful to natural language and test the effectiveness of the method. To generate high
arXiv:1901.07165v1
fatcat:fz2a5iocpbdbpmd7cibjyrpl2u