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GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

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By Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin
| nv-tlabs.github.io
Your browser does not support the video tag. Abstract As several industries are moving towards modeling massive 3D virtual worlds, the need for content creation tools that can scale in terms of the quantity, quality, and diversity of 3D content is becoming evident. In our work, we aim to train performant 3D generative models that synthesize textured meshes which can be directly consumed by 3D rendering engines, thus immediately usable in downstream applications.
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