Web: http://arxiv.org/abs/2011.11961

Jan. 28, 2022, 2:10 a.m. | Zhanghan Ke, Jiayu Sun, Kaican Li, Qiong Yan, Rynson W.H. Lau

cs.CV updates on arXiv.org arxiv.org

Existing portrait matting methods either require auxiliary inputs that are
costly to obtain or involve multiple stages that are computationally expensive,
making them less suitable for real-time applications. In this work, we present
a light-weight matting objective decomposition network (MODNet) for portrait
matting in real-time with a single input image. The key idea behind our
efficient design is by optimizing a series of sub-objectives simultaneously via
explicit constraints. In addition, MODNet includes two novel techniques for
improving model efficiency and …

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