Simultaneous and Granular Control of Identity and Expression in Personalized Face Generation

This paper introduces a novel multi-modal face generation framework that can simultaneously control the identity, expression, and background of the generated faces, while enabling fine-grained expression synthesis beyond the commonly used coarse expression labels.