Mesh Extraction

Mesh extraction aims to create 3D surface meshes from various input representations, such as point clouds, implicit surfaces, or volumetric data, improving efficiency and quality compared to manual creation. Current research emphasizes developing novel algorithms, including transformer-based generative models and octree-based methods, to address challenges like generating meshes with fewer faces while preserving geometric detail and handling large-scale or unbounded scenes. These advancements are crucial for various applications, including 3D modeling, computer vision, and virtual/augmented reality, by enabling more efficient and accurate representation of complex 3D objects and scenes.