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Geometry Sampling-Based Adaption to DCGAN for 3D Face Generation †
Despite progress in the past decades, 3D shape acquisition techniques are still a threshold for various 3D face-based applications and have therefore attracted extensive research. Moreover, advanced 2D data generation models based on deep networks may not be directly applicable to 3D objects because...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964279/ https://www.ncbi.nlm.nih.gov/pubmed/36850534 http://dx.doi.org/10.3390/s23041937 |