WebtoonMe: A Data-Centric Approach for Full-Body Portrait Stylization

Jihye Back, Seungkwon Kim, Namhyuk Ahn

Abstract: Full-body portrait stylization has drawn attention recently. However, most methods have focused only on converting face regions. A recently proposed two-stage method expands to full bodies, but the outputs are less plausible and fail to achieve quality robustness of non-face regions. Furthermore, they cannot reflect diverse skin tones. In this study, we propose a data-centric solution to build a production-level full-body portrait stylization system. We construct a novel and advanced dataset preparation paradigm that can effectively resolve the aforementioned problems.