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3DPointCaps++: Learning 3D Representations with Capsule Networks
We present 3DPointCaps++ for learning robust, flexible and generalizable 3D object representations without requiring heavy annotation efforts or supervision. Unlike conventional 3D generative models, our algorithm aims for building a structured latent space where certain factors of shape variations,...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362689/ https://www.ncbi.nlm.nih.gov/pubmed/35968252 http://dx.doi.org/10.1007/s11263-022-01632-6 |