High Quality Mesh

High-quality mesh generation and manipulation are central research areas in computer graphics and related fields, aiming to create accurate, efficient, and visually appealing 3D models. Current research focuses on developing novel neural network architectures, such as graph neural networks and diffusion models, to improve mesh reconstruction from various inputs (e.g., point clouds, images, implicit fields), optimize mesh properties (e.g., smoothness, watertightness), and enable efficient manipulation and animation. These advancements have significant implications for diverse applications, including virtual and augmented reality, computer-aided design, and scientific simulations, by providing more realistic and computationally tractable 3D representations.