Zobrazeno 1 - 10
of 3 103
pro vyhledávání: '"style transfer"'
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-15 (2024)
Abstract Plant diseases significantly threaten global agriculture, impacting crop yield and food security. Nearly 30% of the crop yield is lost due to plant diseases. Efficient identification and classification of plant diseases through computer visi
Externí odkaz:
https://doaj.org/article/00835939ebef4be8b65f917e0086fd99
Publikováno v:
Journal of Hebei University of Science and Technology, Vol 45, Iss 3, Pp 328-340 (2024)
In order to solve the problem that the existing art style transfer methods can not maintain high-quality image content and transform style patterns at the same time, a novel style-transition attention network (STANet) was introduced, which consists o
Externí odkaz:
https://doaj.org/article/3107296e197849a29c618fde67e63810
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
In this paper, we combine the deep image prior (DIP) framework with a style transfer (ST) technique to propose a novel approach (called DIP-ST) for image inpainting of artworks. We specifically tackle cases where the regions to fill in are large. Hen
Externí odkaz:
https://doaj.org/article/d2ef67be163b4fae95507b3e166c9a37
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104235- (2024)
Mapping tree crowns in arid or semi-arid areas, which cover around one-third of the Earth’s land surface, is a key methodology towards sustainable management of trees. Recent advances in deep learning have shown promising results for tree crown seg
Externí odkaz:
https://doaj.org/article/66fd980871474939b172acf34145ea52
Publikováno v:
PeerJ Computer Science, Vol 10, p e2332 (2024)
Image style transfer is an important way to combine different styles and contents to generate new images, which plays an important role in computer vision tasks such as image reconstruction and image texture synthesis. In style transfer tasks, there
Externí odkaz:
https://doaj.org/article/81d3c82cde104f40b77ad8fcf35ada5a
Publikováno v:
Ecological Informatics, Vol 84, Iss , Pp 102881- (2024)
The sensory drive hypothesis of animal signal evolution describes how animal communication signals and preferences evolve as adaptations to local environments. While classical approaches to testing this hypothesis often focus on preference for one as
Externí odkaz:
https://doaj.org/article/8be6efb351c04874b620780a652418c4
Publikováno v:
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), Vol 10, Iss 2, Pp 379 – 390-379 – 390 (2024)
Penelitian ini dilakukan dengan mengaplikasikan metode Neural Style Transfer pada berbagai set gambar konten dan gaya, kemudian menghitung nilai FSIM untuk setiap pasangan gambar hasil dan gambar asli. Analisa dilakukan terhadap faktor-faktor seperti
Externí odkaz:
https://doaj.org/article/ceb8e9e8f2334bca9cb214a679a1c80d
Publikováno v:
PeerJ Computer Science, Vol 10, p e2194 (2024)
In this work, we focus on solving the problem of timbre transfer in audio samples. The goal is to transfer the source audio’s timbre from one instrument to another while retaining as much of the other musical elements as possible, including loudnes
Externí odkaz:
https://doaj.org/article/860f653eef64411296116d24c8b03fd2
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 2, Pp 465-476 (2024)
One of the challenging tasks is to use computer technology to automatically design a virtual indoor scene that both satisfies realness and matches the target emotion. The subjective nature of emotions brings uncertainty of results. At present, there
Externí odkaz:
https://doaj.org/article/b7889bcafe9e44ec8a4fabb2fe19b9d2
Publikováno v:
IEEE Access, Vol 12, Pp 164018-164027 (2024)
With the rapid development of artificial intelligence technology, style transfer has become an important topic in current research. However, existing models are deficient in fusing content and style features, resulting in a large gap between the gene
Externí odkaz:
https://doaj.org/article/e2b278f4143b45738ce06e9cdd8695c5