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TM-NET: Deep Generative Networks for Textured Meshes [article]

Lin Gao, Tong Wu, Yu-Jie Yuan, Ming-Xian Lin, Yu-Kun Lai, Hao Zhang
<span title="2021-06-09">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We introduce TM-NET, a novel deep generative model for synthesizing textured meshes in a part-aware manner.  ...  Once trained, the network can generate novel textured meshes from scratch or predict textures for a given 3D mesh, without image guidance.  ...  Our deep generative network for textured meshes, TM-NET, can automatically synthesize multiple textures for the same input 3D shape (top) and blend between textured meshes via latent space interpolation  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.06217v3">arXiv:2010.06217v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p3lz5ycf2vheliaec6jhfjsu7m">fatcat:p3lz5ycf2vheliaec6jhfjsu7m</a> </span>
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