إسماعیل جلایر (حیاته – أعماله – أسلوبه الفنی) Isma’il Ğalāyir (life, works, and artistic style)
نویسندگان
چکیده
منابع مشابه
Artistic Style Transfer
We have shown that it is possible to achieve artistic style transfer within a purely image processing paradigm. This is in contrast to previous work that utilized deep neural networks to learn the difference between “style” and “content” in a painting. We leverage the work by Kwatra et. al. on texture synthesis to accomplish “style synthesis” from our given style images, building off the work o...
متن کاملArtistic Style Transfer for Videos
In the past, manually re-drawing an image in a certain artistic style required a professional artist and a long time. Doing this for a video sequence single-handed was beyond imagination. Nowadays computers provide new possibilities. We present an approach that transfers the style from one image (for example, a painting) to a whole video sequence. We make use of recent advances in style transfe...
متن کاملImproving the Neural Algorithm of Artistic Style
In this work we investigate different avenues of improving the Neural Algorithm of Artistic Style [7]. While showing great results when transferring homogeneous and repetitive patterns, the original style representation often fails to capture more complex properties, like having separate styles of foreground and background. This leads to visual artifacts and undesirable textures appearing in un...
متن کاملA Learned Representation For Artistic Style
The diversity of painting styles represents a rich visual vocabulary for the construction of an image. The degree to which one may learn and parsimoniously capture this visual vocabulary measures our understanding of the higher level features of paintings, if not images in general. In this work we investigate the construction of a single, scalable deep network that can parsimoniously capture th...
متن کاملExploring the Neural Algorithm of Artistic Style
In this work we explore the method of style transfer presented in [1]. We first demonstrate the power of the suggested style space on a few examples. We then vary different hyper-parameters and program properties that were not discussed in [1], among which are the recognition network used, starting point of the gradient descent and different ways to partition style and content layers. We also g...
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ژورنال
عنوان ژورنال: Bulletin of the Center Papyrological Studies
سال: 2017
ISSN: 1110-2055
DOI: 10.21608/bcps.2017.15621