StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation

@article{Kocasari2021StyleMCMB,
  title={StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation},
  author={Umut Kocasari and Alara Dirik and Mert Tiftikci and Pinar Yanardag},
  journal={2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  year={2021},
  pages={3441-3450}
}
Discovering meaningful directions in the latent space of GANs to manipulate semantic attributes typically requires large amounts of labeled data. Recent work aims to overcome this limitation by leveraging the power of Contrastive Language-Image Pre-training (CLIP), a joint text-image model. While promising, these methods require several hours of preprocessing or training to achieve the desired manipulations. In this paper, we present StyleMC, a fast and efficient method for text-driven image… 

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