Automatic Animation of Hair Blowing in Still Portrait Photos
Wenpeng Xiao Wentao Liu Yitong Wang Bernard Ghanem Bing Li
We propose a novel approach to animate human hair in a still portrait photo.
Existing work has largely studied the animation of fluid elements such as water
and fire. However, hair animation for a real image remains underexplored, which
is a challenging problem, due to the high complexity of hair structure and
dynamics. Considering the complexity of hair structure, we innovatively treat
hair wisp extraction as an instance segmentation problem, where a hair wisp is
referred to as an instance. With advanced instance segmentation networks, our
method extracts meaningful and natural hair wisps. Furthermore, we propose a
wisp-aware animation module that animates hair wisps with pleasing motions
without noticeable artifacts. The extensive experiments show the superiority of
our method. Our method provides the most pleasing and compelling viewing
experience in the qualitative experiments and outperforms state-of-the-art
still-image animation methods by a large margin in the quantitative evaluation.
Project url: \url{https://nevergiveu.github.io/AutomaticHairBlowing/}