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Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks

arXiv 2301.09123 ↗First posted 22 Jan 2023cs.CV cs.AIcited by 0

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Abstract (arXiv)

Generative Networks have proved to be extremely effective in image restoration and reconstruction in the past few years. Generating faces from textual descriptions is one such application where the power of generative algorithms can be used. The task of generating faces can be useful for a number of applications such as finding missing persons, identifying criminals, etc. This paper discusses a novel approach to generating human faces given a textual description regarding the facial features. We use the power of state of the art natural language processing models to convert face descriptions into learnable latent vectors which are then fed to a generative adversarial network which generates faces corresponding to those features. While this paper focuses on high level descriptions of faces only, the same approach can be tailored to generate any image based on fine grained textual features.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 21 of its 25 references that are in the map. First posted on arXiv 22 Jan 2023.

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21 of 25 references.

References · 21

  1. 2017Attention Is All You Needcited by 60,361
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  12. 2017AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networkscited by 664
9 more
  1. 2016StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networkscited by 577
  2. 2019MirrorGAN: Learning Text-to-image Generation by Redescriptioncited by 176
  3. 2020Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directionscited by 65
  4. 2020Faces `a la Carte: Text-to-Face Generation via Attribute Disentanglementcited by 16
  5. 2019Text2FaceGAN: Face Generation from Fine Grained Textual Descriptionscited by 9
  6. 2019FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generationcited by 6
  7. 2019An explanation method for Siamese neural networkscited by 5
  8. 2020Attributes Aware Face Generation with Generative Adversarial Networkscited by 2
  9. 2021Semantic Text-to-Face GAN -ST^2FGcited by 1

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