Arbitrary Mesh

Arbitrary mesh processing focuses on developing methods to efficiently and accurately handle 3D models with irregular and complex geometries, unlike structured grids. Current research emphasizes developing neural network architectures, such as MeshGraphNets and those incorporating StyleGAN-like designs, to perform tasks like texture generation, solving partial differential equations, and learning intrinsic mappings between meshes. These advancements are crucial for accelerating simulations in various fields (e.g., engineering, computer graphics) and enabling new applications in areas like 3D modeling, virtual reality, and computational physics, where handling complex geometries is essential. The ability to process arbitrary meshes efficiently is driving progress in these fields by removing limitations imposed by regular grid assumptions.