… As a newly de ned task in this paper, the rst challenge is that semantic human matting
encounters the lack of data. To address it, we create a large scale high quality human matting …

… Semantic human matting aims to estimate the per-pixel opacity of the foreground human …
data to boost endto-end semantic human matting without trimaps as extra input. Specifically, we …

Automatic human matting is highly desired for many real applications. We investigate recent
human matting methods and show that common bad cases happen when semantic human …

… Semantic human matting aims to accurately separate the humans from a given image . It is
a task with many practical applications, eg, image composition. Given an RGB image as input…

Although conventional matting formulation can separate foreground from background in
fractional occupancy which can be caused by highly transparent objects, complex foreground (…

Existing human matting methods are incapable of accurately estimating the alpha mattes of
arbitrarily selected humans from a group photo. An alternative solution is to apply them to the …

Human matting refers to extracting human parts from natural images with high quality,
including human detail information such as hair, glasses, hats, etc. This technology plays an …

… Gai, “Semantic human matting,” in Proc. ACM MM, 2018, pp. 1–9. … Liu et al., “Boosting
semantic human matting with coarse annotations,” in Proc. CVPR, 2020, pp. 1–10. …

Natural image matting separates the foreground from background in fractional occupancy
which can be caused by highly transparent objects, complex foreground (eg, net or tree), and/…

Recent human matting methods typically suffer from two drawbacks: 1) high computation
overhead caused by multiple stages, and 2) limited practical application due to the need for …