Abstract. Photo blending is a common technique to create aesthetically
pleasing artworks by combining multiple photos. However, the process
of photo blending is usually time-consuming, and care must be taken
in the process of blending, filtering, positioning, and masking each of
the source photos. To make photo blending accessible to general public, we propose an efficient approach for automatic photo blending via
deep learning. Specifically, given a foreground image and a background
image, our proposed method automatically generates a set of blending
photos with scores that indicate the aesthetics quality with the proposed
quality network and policy network. Experimental results show that the
proposed approach can effectively generate high quality blending photos
with efficiency