Self-parameterization based multi-resolution mesh convolution networks
This paper addresses the challenges of designing mesh convolution neural networks for 3D mesh dense prediction. While deep learning has achieved remarkable success in image dense prediction tasks, directly applying or extending these methods to irregular graph data, such as 3D surface meshes, is non...
| Asıl Yazarlar: | , , , |
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| Diğer Yazarlar: | |
| Materyal Türü: | Journal Article |
| Dil: | English |
| Baskı/Yayın Bilgisi: |
2023
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| Konular: | |
| Online Erişim: | https://hdl.handle.net/10356/169922 |