When you are still new to 3D scanning, it’s easy to assume you can just wave your scanner at an object and expect perfect results. After 3D scanning, you expect a 3D model without issues that ...

To achieve state-of-the-art performance for multi-class 3D point cloud generation, a tree-structured graph convolution network (TreeGCN) is introduced as a generator for tree-GAN. Because TreeGCN ...

This work presents a framework based on adaptive graph convolution network (AGCN) to process both 2D and 3D facial landmarks extracted from the input RGB image. The network has a two-streams ...

Introduction: 3D Geometric Graph Neural Networks (GNNs) have emerged as transformative tools for modeling molecular data. Despite their predictive power, these models often suffer from limited ...

Watch Full Movie on Digital or Stream on Demand starting May 29th, 2012 ...

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