3D Surface

3D surface reconstruction and manipulation are active research areas aiming to accurately represent and process three-dimensional shapes from various data sources, such as images, point clouds, and scans. Current research focuses on developing novel algorithms and neural network architectures, including diffusion models, transformers, and Gaussian splatting, to improve reconstruction quality, handle incomplete data, and address challenges like specular reflections and large-scale scenes. These advancements are driving progress in diverse applications, including computer graphics, robotics (e.g., spray painting, depowdering), medical imaging, and the creation of realistic virtual environments. The ultimate goal is to achieve highly accurate, detailed, and efficient 3D surface representations for a wide range of applications.