Generative flows with invertible attentions
Flow-based generative models have shown an excellent ability to explicitly learn the probability density function of data via a sequence of invertible transformations. Yet, learning attentions in generative flows remains understudied, while it has made breakthroughs in other domains. To fill the gap...
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Main Authors: | , , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2022
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Online Access: | https://ink.library.smu.edu.sg/sis_research/7612 https://ink.library.smu.edu.sg/context/sis_research/article/8615/viewcontent/01_Generative_Flows_With_Invertible_Attentions_CVPR_2022_paper.pdf |
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Institution: | Singapore Management University |
Language: | English |