Overview of Target Image Generation Methods Based on GAN Networks
Since its proposal in 2014,generative adversarial networks have greatly promoted the progress of image generation research.Through the mutual game between two neural networks,it gradually improves the ability to distinguish between real images and generate imag-es,as well as the ability to generate realistic images,ultimately achieving a Nash equilibrium between the two parties.Briefly introduce the generation of adversarial networks and sort out their application methods in the field of image generation around the issue of generating images containing targets.They are divided into five categories:direct method,iterative method,hierarchical method,decoupling method,and 3D modeling method.Focus on the research progress of generative adversarial networks in generating images containing targets,and prospect the development direction of image generation methods containing objects,in order to provide reference for relevant researchers in image genera-tion research.
万方数据
维普
