The　goal　of　face　aging　is　to　change　the　face　appearance　according　to　different　ages.　To　be　specific,　it　is　required　to　change　the　skin　and　the　deeper　soft　tissues　of　the　face.　There　are　lots　of　different　methods　to　solve　the　face　aging　task.　In　this　paper,　we　mainly　focus　on　applying　Generative　Adversarial　Networks　to　change　the　face　appearance.　We　compare　and　analyze　the　results　of　different　face　aging　methods　based　on　various　Generative　Adversarial　Networks.