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231225s2019 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2019.2891935
|2 doi
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|a DE-627
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Yang, Zichen
|e verfasserin
|4 aut
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| 245 |
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|a On the Diversity of Conditional Image Synthesis with Semantic Layouts
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|c 2019
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Revised 27.02.2024
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|a published: Print-Electronic
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|a Citation Status Publisher
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|a Many image processing tasks can be formulated as translating images between two image domains, such as colorization, super-resolution, and conditional image synthesis. In most of these tasks, an input image may correspond to multiple outputs. However, current existing approaches only show minor stochasticity of the outputs. In this paper, we present a novel approach to synthesize diverse realistic images corresponding to a semantic layout. We introduce a diversity loss objective, which maximizes the distance between synthesized image pairs and relates the input noise to the semantic segments in the synthesized images. Thus, our approach can not only produce multiple diverse images but also allow users to manipulate the output images by adjusting the noise manually. Experimental results show that images synthesized by our approach are diverse than that of the current existing works and equipping our diversity loss does not degrade the reality of the base networks. Moreover, our approach can be applied to unpaired datasets
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| 650 |
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|a Journal Article
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| 700 |
1 |
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|a Liu, Haifeng
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Cai, Deng
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g (2019) vom: 10. Jan.
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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| 773 |
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|g year:2019
|g day:10
|g month:01
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|u http://dx.doi.org/10.1109/TIP.2019.2891935
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|j 2019
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