PA-GAN: Progressive Attention Generative Adversarial Network for Facial Attribute Editing

Understand

Facial attribute editing aims to manipulate attributes on the human face, e.g., adding a mustache or changing the hair color.

• Existing approaches suffer from a serious compromise between correct attribute generation and preservation of the other information such as identity and background, because they edit the attributes in the imprecise area.
• To resolve this dilemma, we propose a progressive attention GAN (PA-GAN) for facial attribute editing.
• In our approach, the editing is progressively conducted from high to low feature level while being constrained inside a proper attribute area by an attention mask at each level.