9 citations · 17 across the 4 of their papers we have counts for
5 papers
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution
Wentong Li, Wenyu Liu, Jianke Zhu +4
In contrast to fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of simple box annotations, which has recently attracted i…
Structure-Aware Flow Generation for Human Body Reshaping
Jianqiang Ren, Yuan Yao, Biwen Lei +2
Body reshaping is an important procedure in portrait photo retouching. Due to the complicated structure and multifarious appearance of human bodies, existing methods either fall ba…
PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency
Jie Liang, Hui Zeng, Miaomiao Cui +2
Different from general photo retouching tasks, portrait photo retouching (PPR), which aims to enhance the visual quality of a collection of flat-looking portrait photos, has its sp…
Attention-guided Temporally Coherent Video Object Matting
Yunke Zhang, Chi Wang, Miaomiao Cui +6
This paper proposes a novel deep learning-based video object matting method that can achieve temporally coherent matting results. Its key component is an attention-based temporal a…
Boosting Semantic Human Matting with Coarse Annotations
Jinlin Liu, Yuan Yao, Wendi Hou +4
Semantic human matting aims to estimate the per-pixel opacity of the foreground human regions. It is quite challenging and usually requires user interactive trimaps and plenty of h…