  Contemporary makeup transfer methods primarily focus on replicating makeup
from one face to another, considerably limiting their use in creating diverse
and creative character makeup essential for visual storytelling. Such methods
typically fail to address the need for uniqueness and contextual relevance,
specifically aligning with character and story settings as they depend heavily
on existing facial makeup in reference images. This approach also presents a
significant challenge when attempting to source a perfectly matched facial
makeup style, further complicating the creation of makeup designs inspired by
various story elements, such as theme, background, and props that do not
necessarily feature faces. To address these limitations, we introduce
$Gorgeous$, a novel diffusion-based makeup application method that goes beyond
simple transfer by innovatively crafting unique and thematic facial makeup.
Unlike traditional methods, $Gorgeous$ does not require the presence of a face
in the reference images. Instead, it draws artistic inspiration from a minimal
set of three to five images, which can be of any type, and transforms these
elements into practical makeup applications directly on the face. Our
comprehensive experiments demonstrate that $Gorgeous$ can effectively generate
distinctive character facial makeup inspired by the chosen thematic reference
images. This approach opens up new possibilities for integrating broader story
elements into character makeup, thereby enhancing the narrative depth and
visual impact in storytelling.
