3D Structure

3D structure research focuses on developing methods for accurate representation, reconstruction, and analysis of three-dimensional objects and scenes from various data sources, including images, point clouds, and sensor data. Current research emphasizes the use of deep learning models, such as transformers, graph neural networks, and generative adversarial networks (GANs), to address challenges in data efficiency, computational cost, and robustness to noise and occlusion. These advancements have significant implications for diverse fields, including robotics, medical imaging, materials science, and computer vision, enabling improved object recognition, scene understanding, and design optimization.