We proposed a GAN-based method to generate a ship hull form. Unlike mathematical hull forms that require geometrical parameters to generate ship hull forms, the proposed method requires desirable ship performance parameters, i.e., the drag coefficient and tonnage. The requirements of ship owners are generally focused on the ship performance and not the geometry itself. Hence, the proposed model is useful for obtaining the ship hull form based on an owner's requirements. The GAN model was trained using a ship hull form dataset generated using the generalized Wigley hull form. The proposed method was evaluated through numerical experiments and successfully generated ship data with small errors.

翻译：我们提出了一种基于生成对抗网络（GAN）的船体外形生成方法。不同于需要几何参数的传统数学船型生成方式，该方法仅需输入期望的船舶性能参数——即阻力系数和吨位。由于船东需求通常聚焦于船舶性能而非几何形态本身，因此该模型可根据船东要求直接生成船体外形。该GAN模型采用广义Wigley船型数据集进行训练，并通过数值实验验证其有效性。实验结果表明，该方法能以较高精度生成船舶数据，误差范围较小。