3D Shape Generation

3D Shape Generation is an important subtask in the field of computer vision, aiming to generate 3D shape models through algorithms. The goal is to use techniques such as deep learning to learn the structure and features of shapes from given data, and then generate 3D models with high realism and diversity. 3D Shape Generation has broad application value in areas such as virtual reality, augmented reality, game development, architectural design, and medical imaging, effectively enhancing innovation capabilities and user experience in these fields.