In order to solve the problem that the existing virtual fitting methods cannot be applied to academic uniforms， a virtual try-on method oriented to the generation of academic uniforms is proposed. The method first trains the image-based virtual try-on network composed of the clothing deformation module and the virtual try-on module， and then generates try-on results through the trained network of the portrait and the academic dress image. Then， the generated academic dress try-on results are synthesized with the specific background through the background fusion module. During the experiment， this paper constructs a new dataset of academic dress and long skirt. From the experimental results， the algorithm proposed in this paper can greatly reduce the impact of the clothes in the original portrait on the academic dress try-on， and can better complete the academic dress try-on work and generate more ideal fitting results.