Zobrazeno 1 - 10
of 360
pro vyhledávání: '"image style"'
Publikováno v:
IEEE Access, Vol 12, Pp 122126-122138 (2024)
The purpose of image style conversion is to transfer the style of one image to another, so that the target image retains the original content and the style of the reference image. An image style conversion technique based on generative adversarial ne
Externí odkaz:
https://doaj.org/article/69560c00f6fa48f69ba9538e4fbd476b
Publikováno v:
IEEE Access, Vol 12, Pp 65141-65153 (2024)
The objective of image style transfer is to create an image that has the artistic features of a reference style image while also retaining the details of the original content image. Despite the promising outcomes of current approaches, they are still
Externí odkaz:
https://doaj.org/article/2b7a8af1aebd4f1a928458b6e83ae119
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7637 (2024)
Generative Adversarial Networks (GANs) have achieved remarkable success in various tasks, including image generation, editing, and reconstruction, as well as in unsupervised and representation learning. Despite their impressive capabilities, GANs are
Externí odkaz:
https://doaj.org/article/b59614a9c3ab42aaaa16a2dd44f4dba0
Autor:
Anyu Yang, Muhammad Kashif Hanif
Publikováno v:
PeerJ Computer Science, Vol 10, p e1889 (2024)
Through the application of computer vision and deep learning methodologies, real-time style transfer of images becomes achievable. This process involves the fusion of diverse artistic elements into a single image, resulting in the creation of innovat
Externí odkaz:
https://doaj.org/article/47035cbf9cab41c18e208859d87a1ced
Autor:
Li Shuangqi
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, the convolutional neural network is applied to the processing of stylistic features in the images of landscape paintings of Wei Jin and North and South Dynasties. After convolution and pooling activation, rich and less parametric featu
Externí odkaz:
https://doaj.org/article/05b79f245a154ff5a256c1202448e6b3
Autor:
Zhao Yongtao
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, using the loss function of image stylization, combined with the development of image stylization based on deep learning, the proposed convolutional neural network in the style of image conversion fitting and overfitting response. Based
Externí odkaz:
https://doaj.org/article/7f6cefc093444c46b56fd498f0913803
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper first constructs a convolutional neural network model by convolutional layer, activation layer and normalization layer and then uses the style migration algorithm and image semantic segmentation algorithm based on the convolutional neural
Externí odkaz:
https://doaj.org/article/0cbaf90bf5164ad1b00d4e6721ff1e20
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4420 (2024)
Scene image text segmentation is an important task in computer vision, but the complexity and diversity of backgrounds make it challenging. All supervised image segmentation tasks require paired semantic label data to ensure the accuracy of segmentat
Externí odkaz:
https://doaj.org/article/4601edfaeb7e4dff864df64bdf054519
Autor:
Xuyang Guo, Jun Ma
Publikováno v:
Results in Engineering, Vol 20, Iss , Pp 101485- (2023)
To create environmental art on the basis of preserving environmental and ecological resources, landscape design considers the peaceful coexistence of art and ecology. In picture generation and rendering for landscape design, image style migration tec
Externí odkaz:
https://doaj.org/article/a04a5910481740998096d6a6bd3ee683
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/deeea0ad1093460186f4f155f5fddc8f