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Latent diffusion transformer for point cloud generation
Visual ComputerJunzhong Ji, Minglong Lei
exaly +3 more sources
Generative Modeling in Application to Point Cloud Completion
2020The three-dimensional data representations have found numerous applications, most notably in SLAM and autonomous driving, where the most widely used type of data is a point cloud. In contrast to the image data, point clouds are unstructured objects, represented as sets of points in three- or six-dimensional (if the colors of surroundings are captured ...
Maciej Zamorski +2 more
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Optimal Point-to-Point geodesic path generation on point clouds
Computer-Aided Design, 2023Alexander Agathos, Phillip N. Azariadis
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3D Point Cloud Generation for Surface Representation
Point clouds of diverse natures are needed for different geometric model-ing and processing applications. In this work, we propose a new Generative Adversarial Network (GAN), called Dynamic Style-TreeGAN, for the generation of 3D point clouds with quasi-uniform distribution and limited computational costs. While existing GAN models usually do not focusCarlotta Giannelli +3 more
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Transformer-based Point Cloud Generation Network
Proceedings of the 31st ACM International Conference on Multimedia, 2023Rui Xu +4 more
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C2FNet: A Coarse-to-Fine Network for Multi-View 3D Point Cloud Generation
IEEE Transactions on Image Processing, 2022Qingming Huang, Wanqing Li, Bo Peng
exaly
A Generalization and Applications to Point Clouds
2023Roberto Alicandro +4 more
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Snowflake Point Deconvolution for Point Cloud Completion and Generation With Skip-Transformer
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Pengfei Wan, Yu-Shen Liu, Zhizhong Han
exaly