Automatic deformation of cranial models has a significant effect on the ergonomic design of headgears. Previously, manual customization of the template model was required before it could be used for further qualitative analysis of CT-derived cranial models. With the development of automatic deformation methods, cranial modeling can now be conducted efficiently. Furthermore, deformation methods with anatomical landmarks can improve the model accuracy and speedup the procedure. This study compares three different landmark-guided deformation methods, including LGCPD, NDP, and S-ARAP. These three methods treat the automatic deformation problem as a task of probability density estimation, hierarchical deformation decomposition, and local rigidity preservation, respectively. The study provides anatomical definitions of the cranial landmarks required for automatic deformation. Finally, the study discusses and compares the suitability of these three deformation methods for automatic cranial modeling.