MeSH Data

Mesh data, representing 3D shapes as interconnected vertices and faces, is central to numerous scientific and engineering applications. Current research focuses on developing efficient and accurate methods for mesh processing, including novel neural network architectures like graph neural networks and multi-layer perceptrons, to address tasks such as mesh classification, segmentation, and generation. These advancements are improving the analysis of complex shapes in diverse fields, from medical imaging and fluid dynamics to human-computer interaction and remote sensing, enabling more sophisticated modeling and analysis of real-world phenomena.