Point Cloud Generation Using Deep Adversarial Local Features for Augmented and Mixed Reality Contents
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2022.3141093
Abstract: We present a generative model-based point cloud generation method using deep adversarial local features. The proposed generative adversarial network (GAN) can reduce computational load and increase the accuracy in three-dimensional (3D) acquisition, reconstruction, and rendering… read more here.
Keywords: cloud generation; point cloud; reality; local features ... See more keywords
DiffusionPointLabel: Annotated Point Cloud Generation with Diffusion Model
Sign Up to like & getrecommendations! Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14663
Abstract: Point cloud generation aims to synthesize point clouds that do not exist in supervised dataset. Generating a point cloud with certain semantic labels remains an under‐explored problem. This paper proposes a formulation called DiffusionPointLabel, which… read more here.
Keywords: point cloud; cloud generation; model; point ... See more keywords