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arxiv: 1605.04731 · v1 · pith:UKJPVXJEnew · submitted 2016-05-16 · 💻 cs.CV · cs.GR· cs.LG

CNN based texture synthesize with Semantic segment

classification 💻 cs.CV cs.GRcs.LG
keywords texturesynthesizealgorithmappliedbeencomputerdeepimage
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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.

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