articleOct 1, 2023Closed access

MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing

The University of Tokyo · Tencent (China)

Indexed incrossref

Abstract

Despite the success in large-scale text-to-image generation and text-conditioned image editing, existing methods still struggle to produce consistent generation and editing results. For example, generation approaches usually fail to synthesize multiple images of the same objects/characters but with different views or poses. Meanwhile, existing editing methods either fail to achieve effective complex nonrigid editing while maintaining the overall textures and identity, or require time-consuming fine-tuning to capture the image-specific appearance. In this paper, we develop MasaCtrl, a tuning-free method to achieve consistent image generation and complex non-rigid image editing simultaneously. Specifically,…

Citation impact

330
total citations
FWCI
38.01
Percentile
100%
References
63
Citations per year

Authors

6

Topics & keywords

Keywords
  • Image editing
  • Computer science
  • Image (mathematics)
  • Confusion
  • Artificial intelligence
  • Consistency (knowledge bases)
  • Computer vision
No related works found for this paper.