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...
Autores principales: | Li, B, Qi, X, Torr, PHS, Lukasiewicz, T |
---|---|
Formato: | Conference item |
Lenguaje: | English |
Publicado: |
NeurIPS
2020
|
Ejemplares similares
-
ManiGAN: Text-guided image manipulation
por: Li, B, et al.
Publicado: (2020) -
Clustering generative adversarial networks for story visualization
por: Li, B, et al.
Publicado: (2022) -
Memory-driven text-to-image generation
por: Li, B, et al.
Publicado: (2022) -
Image-to-image translation with text guidance
por: Li, B, et al.
Publicado: (2023) -
Controllable text-to-image generation
por: Li, B, et al.
Publicado: (2019)