ICGNet: An intensity-controllable generation network based on covering learning for face attribute synthesis

Xin Ning, Feng He, Xiaoli Dong, Weijun Li, Fayadh Alenezi, Prayag Tiwari

Abstract: Highlights•New encoder module maps varied face images into a unified feature space.•ICGNet innovatively synthesizes face attributes with intensity control.•ICGNet maintains identity and semantics in face attribute generation.•Outperforms advanced models in quantitative and qualitative measures.