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ImViD: Immersive Volumetric Videos for Enhanced VR Engagement

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Yang, Zhengxian, Pan, Shi, Wang, Shengqi, Wang, Haoxiang, Lin, Li, Li, Guanjun, Wen, Zhengqi, Lin, Borong, Tao, Jianhua, Yu, Tao
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
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