Zobrazeno 1 - 10 of 69 pro vyhledávání: '"Zen-Chung Shih"'
1
Akademický článek
TwinGAN: Twin Generative Adversarial Network for Chinese Landscape Painting Style Transfer
Autor: Der-Lor Way, Chang-Hao Lo, Yu-Hsien Wei, Zen-Chung Shih
Publikováno v: IEEE Access, Vol 11, Pp 60844-60852 (2023)
Recently, style transfers have received considerable attention. However, most of these studies were suitable for Western paintings. In this paper, a deep learning method is proposed to imitate multiple styles of Chinese landscape paintings. Twin gene
Externí odkaz: https://doaj.org/article/aeab629470f24726912044e82bb644e4
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2
Akademický článek
Generation of Stereo Images Based on a View Synthesis Network
Autor: Yuan-Mau Lo, Chin-Chen Chang, Der-Lor Way, Zen-Chung Shih
Publikováno v: Applied Sciences, Vol 10, Iss 9, p 3101 (2020)
The conventional warping method only considers translations of pixels to generate stereo images. In this paper, we propose a model that can generate stereo images from a single image, considering both translation as well as rotation of objects in the
Externí odkaz: https://doaj.org/article/00c239b3cfdb4a24a8a923b112a9ef71
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5
Measurement and Analysis of Depth Resolution Using Active Stereo Cameras
Autor: Zen-Chung Shih, Te-Mei Wang
Publikováno v: IEEE Sensors Journal. 21:9218-9230
We propose a novel method to measure and analyze depth resolution in near range. Depth resolution is the smallest depth difference that can be detected by a depth camera, which is an important parameter but is hard to be measured accurately. Intuitiv
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::462e2ab8399e6b93819169169b1e9ef2
https://doi.org/10.1109/jsen.2021.3054820
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7
The synthesis of weathering using multi-label map
Autor: Yung Chen Lin, Der Lor Way, Zen Chung Shih
Publikováno v: International Workshop on Advanced Imaging Technology (IWAIT) 2021.
Texture synthesis has been researched for several decades, and a good texture can improve the quality of 3D objects. However, it is very difficult to obtain good textures through realistic scenes or the process of time-varying weathering. This paper
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7bdd29852db92be55f2277d333357532
https://doi.org/10.1117/12.2590941
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9
Deep Learning for Anime Style Transfer
Autor: Zen-Chung Shih, Wei-Cheng Chang, Der-Lor Way
Publikováno v: Proceedings of the 2019 3rd International Conference on Advances in Image Processing.
Some artificial systems based on a deep neural network create artistic images of high perceptual quality. However, it is usually suitable for use in abstract styles. The performances of existing style transfer algorithms on anime style are not very s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f13927a89e61f17afacbe029a9e1454e
https://doi.org/10.1145/3373419.3373433
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10
Generation of Stereo Images Based on a View Synthesis Network
Autor: Der-Lor Way, Chin-Chen Chang, Zen Chung Shih, Yuan Mau Lo
Publikováno v: Applied Sciences, Vol 10, Iss 3101, p 3101 (2020)
Applied Sciences
Volume 10
Issue 9
The conventional warping method only considers translations of pixels to generate stereo images. In this paper, we propose a model that can generate stereo images from a single image, considering both translation as well as rotation of objects in the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::178552a5efd6c6d390c3a3dd7f0724cd
https://doi.org/10.3390/app10093101
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