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Local and blobal GANs with semantic-aware upsampling for image generation

Abstract:

In this paper, we address the task of semantic-guided image generation. One challenge common to most existing image-level generation methods is difficulty in generating small objects and detailed local textures. To tackle this issue, in this work we consider generating images using local context. As such, we design a local class-specific generative network using semantic maps as guidance, which separately constructs and learns subgenerators for different classes, enabling it to capture finer ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/TPAMI.2022.3155989

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Publisher:
IEEE
Journal:
IEEE Transactions on Pattern Analysis and Machine Intelligence More from this journal
Volume:
45
Issue:
1
Pages:
768 - 784
Publication date:
2022-03-09
DOI:
EISSN:
1939-3539
ISSN:
0162-8828
Language:
English
Keywords:
Pubs id:
1251065
Local pid:
pubs:1251065
Deposit date:
2022-08-01

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