Learning A Locally Unified 3D Point Cloud for View Synthesis

In this paper, we explore the problem of 3D point cloud representation-based view synthesis from a set of sparse source views. To tackle this challenging problem, we propose a new deep learning-based view synthesis paradigm that learns a locally unified 3D point cloud from source views. Specifically...

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Veröffentlicht in:	IEEE transactions on image processing 2023, Vol.32, p.1-1
Hauptverfasser:	You, Meng, Guo, Mantang, Lyu, Xianqiang, Liu, Hui, Hou, Junhui
Format:	Artikel
Sprache:	eng
Schlagworte:	3D point clouds Cloud computing Deep learning Fuses Geometry Image restoration Image-based rendering Point cloud compression point cloud fusion Rendering (computer graphics) Synthesis Three dimensional models Three-dimensional displays view synthesis
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