태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Facial makeup transfer aims to translate the makeup style from a given reference makeup face image to another non-makeup one while preserving face identity.
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
BeautyFace is a dataset containing 3,000 high-quality face images with a higher resolution of 512*512, covering more recent makeup styles and more diverse face poses, backgrounds, expressions, races, illumination. Each face has annotated parsing map. Source: BeautyREC: Robust, Efficient, and Component-Specific Makeup Transfer Image Source: https://arxiv.org/pdf/2212.05855v1.pdf
CPM-Synt-1 is a dataset consisting of 5555 images with synthesis - makeup images with pattern segmentation mask
CPM-Synt-2 is a dataset consisting of 1625 images with synthesis - triplets: makeup, non-makeup, ground-truth.
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.