Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis.
IEEE transactions on pattern analysis and machine intelligence, pp. 1-1, 2020.
3D data that contains rich geometry information of objects and scenes is valuable for understanding 3D physical world. With the recent emergence of large-scale 3D datasets, it becomes increasingly crucial to have a powerful 3D generative model for 3D shape synthesis and analysis. This paper proposes a deep 3D energy-based model to represe...更多
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