Artistic Natural Images Generation Using Neural Style Transfer

التفاصيل البيبلوغرافية
العنوان: Artistic Natural Images Generation Using Neural Style Transfer
المؤلفون: Fairuz Shadmani Shishir, Mohammad Masudur Rahman, Ashraful Islam, Eshtiak Ahmed, Atiqul Islam Chowdhury
المصدر: Advances in Intelligent Systems and Computing ISBN: 9789811599262
بيانات النشر: Springer Singapore, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Image processing, Rendering (computer graphics), Style (sociolinguistics), Image (mathematics), Natural (music), Computer vision, Artificial intelligence, Transfer of learning, business, Representation (mathematics), Network model
الوصف: Rendering an image in a different form of style is a difficult task in image processing. And the representation of an image is very important as an image contains a lot of information. To represent the image uniquely, the Neural Style Transfer technique plays an important role. Neural Style Transfer refers to a technique of generating new images in the style of another image and generates new images as if they are oil painted images. In this paper, we have modified different types of natural images of Bangladesh with the help of Neural Style Transfer. It is a technique that is used to blend the content image and style image in an optimized way and gives a creative output image that is very interesting and attractive. We have transformed the input image for minimizing its content distance and style distance with the help of the content image and style image using the VGG19 network model.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::7d9a9ebe81dd3b185931736fc76e47b1Test
https://doi.org/10.1007/978-981-15-9927-9_31Test
حقوق: CLOSED
رقم الانضمام: edsair.doi...........7d9a9ebe81dd3b185931736fc76e47b1
قاعدة البيانات: OpenAIRE