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...

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Detalles Bibliográficos
Autores principales: Luo, Guoliang, Xiong, Guoming, Huang, Xiaojun, Zhao, Xin, Tong, Yang, Chen, Qiang, Zhu, Zhiliang, Lei, Haopeng, Lin, Juncong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964279/
https://www.ncbi.nlm.nih.gov/pubmed/36850534
http://dx.doi.org/10.3390/s23041937

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