Lightweight generative adversarial networks for text-guided image manipulation
We propose a novel lightweight generative adversarial network for efficient image manipulation using natural language descriptions. To achieve this, a new word-level discriminator is proposed, which provides the generator with fine-grained training feedback at word-level, to facilitate training a li...
| Hoofdauteurs: | , , , |
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| Formaat: | Conference item |
| Taal: | English |
| Gepubliceerd in: |
NeurIPS
2020
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