Mesh Model

Mesh models are three-dimensional representations of objects or environments, crucial for various applications including robotics, computer vision, and physical simulations. Current research focuses on improving mesh generation techniques, particularly using neural networks like transformers and graph neural networks, to create high-fidelity models from diverse data sources such as point clouds and images, often incorporating implicit representations like signed distance functions. These advancements aim to enhance efficiency, accuracy, and the ability to handle complex geometries and large-scale datasets, ultimately impacting fields requiring realistic 3D modeling and simulation.