High Resolution Mesh

High-resolution mesh processing focuses on efficiently creating, manipulating, and analyzing 3D models with a large number of vertices and faces. Current research emphasizes developing scalable algorithms, often leveraging graph neural networks and novel mesh representations like recursively subdivided tetrahedra or local patch meshes, to overcome computational limitations and improve accuracy in tasks such as deformation, editing, and texture generation. These advancements are crucial for various applications, including computer graphics, medical imaging, and scientific simulations, where high-fidelity 3D models are essential for realistic rendering, accurate analysis, and efficient data-driven modeling. The development of efficient and consistent methods for handling such meshes is driving progress in several scientific fields.