Hui Li1, Wei Zeng1,*, Guorong Xiao2, Huabin Wang1
Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 841-846, 2020, DOI:10.32604/iasc.2020.010118
Abstract Recent progress on image colorization is substantial and benefiting mostly from
the great development of the deep convolutional neural networks. However,
one type of object can be colored by different kinds of colors. Due to the
uncertain relationship between the object and color, the deep neural network is
unstable and difficult to converge during the training process. In order to solve
this problem, this paper proposes an instance-aware automatic image
colorization algorithm, which uses the semantic features of the object instance
as prior knowledge to guide the deep neural network to do the colorization
task. More >
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