Efficient conditional GAN transfer with knowledge propagation across classes
Generative adversarial networks (GANs) have shown impressive results in both unconditional and conditional image generation. In recent literature, it is shown that pre-trained GANs, on a different dataset, can be transferred to improve the image generation from a small target data. The same, however...
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Main Authors: | Shahbazi. Mohamad, HUANG, Zhiwu, Huang, PAUDEL, Danda Pani, CHHATKULI, Ajad, VAN, Gool L. |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2021
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Online Access: | https://ink.library.smu.edu.sg/sis_research/6260 https://ink.library.smu.edu.sg/context/sis_research/article/7263/viewcontent/Efficient_Conditional_GAN_Transfer_with_Knowledge_Propagation_across_Classes.pdf |
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Institution: | Singapore Management University |
Language: | English |
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