Point cloud generation using deep adversarial local features for augmented and mixed reality contents

HIGHLIGHTS

• who: -Augmented reality (AR et al. from the (UNIVERSITY) have published the paper: Point Cloud Generation Using Deep Adversarial Local Features for Augmented and Mixed Reality Contents, in the Journal: (JOURNAL)
• what: The major reason for using a GAN is the higher resolution than a VAEs by using a clearly guessed density function even if it does not exactly match the density of the actual data .

SUMMARY

Along with this trend, point cloud-based 3D representation attracts growing attention. A point cloud is a set of points in a 3D space . . .

 



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