Surface Mesh

Surface meshes, representing 3D shapes as interconnected triangles, are fundamental in computer graphics, computer vision, and related fields. Current research focuses on improving mesh generation efficiency and quality, particularly for complex shapes, using techniques like adaptive grids, differentiable rendering, and generative models (e.g., autoencoders and graph neural networks). These advancements enable more accurate and efficient 3D shape reconstruction from various data sources (e.g., images, point clouds), improving applications ranging from medical imaging analysis to virtual reality and robotics. Furthermore, research addresses challenges like mesh repair, optimization for specific applications (e.g., light control), and the development of robust and scalable algorithms for handling large-scale meshes.