Consistent Character Generation
3 papers with code • 0 benchmarks • 0 datasets
Given a text prompt describing a character, we need to distill a representation that enables consistent depiction of the same character in novel contexts.
Benchmarks
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Most implemented papers
CAT: Contrastive Adapter Training for Personalized Image Generation
OnomaAi101/CAT
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Finally, we mention the possibility of CAT in the aspects of multi-concept adapter and optimization.
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Our quantitative analysis demonstrates that our method strikes a better balance between prompt alignment and identity consistency compared to the baseline methods, and these findings are reinforced by a user study.
CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models
In this work, we propose CharacterFactory, a framework that allows sampling new characters with consistent identities in the latent space of GANs for diffusion models.
