Specific Area Style Transfer on Real-Time Video
نویسندگان
چکیده
منابع مشابه
Real-time Image Style Transfer
Artistic style transfer has long been an interesting topic in computer vision research. Recently several methods for style transfer based on convolutional neural networks have been proposed. This project aims at understanding and implementing some of the existing methods. More specifically we succeed in implementing the optimization based neural algorithm as well as the real-time style transfer...
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Recent work in style transfer learns a feed-forward generative network to approximate the prior optimizationbased approaches, resulting in real-time performance. However, these methods require training separate networks for different target styles which greatly limits the scalability. We introduce a Multi-style Generative Network (MSGNet) with a novel Inspiration Layer, which retains the functi...
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We consider image transformation problems, where an input image is transformed into an output image. Recent methods for such problems typically train feed-forward convolutional neural networks using a per-pixel loss between the output and ground-truth images. Parallel work has shown that high-quality images can be generated by defining and optimizing perceptual loss functions based on high-leve...
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A recently published method for audio style transfer has shown how to extend the process of image style transfer to audio. This method synthesizes audio "content" and "style" independently using the magnitudes of a short time Fourier transform, shallow convolutional networks with randomly initialized filters, and iterative phase reconstruction with Griffin-Lim. In this work, we explore whether ...
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ژورنال
عنوان ژورنال: Regular Issue
سال: 2021
ISSN: 2278-3075
DOI: 10.35940/ijitee.e8689.0310521