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Jun, 2023
大规模三维形状生成的极限挑战
Pushing the Limits of 3D Shape Generation at Scale
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Wang Yu, Xuelin Qian, Jingyang Huo, Tiejun Huang, Bo Zhao...
TL;DR
我们开发了一个名为Argus-3D的模型,通过采用自回归模型和大型语言模型的适应性,以及使用36亿可训练参数,在3D形状生成方面取得了重大突破,通过增强生成的3D形状的质量和多样性,解决了现有方法的局限性。
Abstract
We present a significant breakthrough in
3d shape generation
by scaling it to unprecedented dimensions. Through the adaptation of the
auto-regressive model
and the utilization of
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