  Deep learning algorithm display powerful ability in Computer Vision area, in
recent year, the CNN has been applied to solve problems in the subarea of
Image-generating, which has been widely applied in areas such as photo editing,
image design, computer animation, real-time rendering for large scale of scenes
and for visual effects in movies. However in the texture synthesize procedure.
The state-of-art CNN can not capture the spatial location of texture in image,
lead to significant distortion after texture synthesize, we propose a new way
to generating-image by adding the semantic segment step with deep learning
algorithm as Pre-Processing and analyze the outcome.
