Eye Motion Matters for 3D Face Reconstruction
Xuan Wang Mengyuan Liu
Recent advances in single-image 3D face reconstruction have shown remarkable
progress in various applications. Nevertheless, prevailing techniques tend to
prioritize the global facial contour and expression, often neglecting the
nuanced dynamics of the eye region. In response, we introduce an Eye Landmark
Adjustment Module, complemented by a Local Dynamic Loss, designed to capture
the dynamic features of the eyes area. Our module allows for flexible
adjustment of landmarks, resulting in accurate recreation of various eye
states. In this paper, we present a comprehensive evaluation of our approach,
conducting extensive experiments on two datasets. The results underscore the
superior performance of our approach, highlighting its significant
contributions in addressing this particular challenge.