Beyond Inserting: Learning Subject Embedding for Semantic-Fidelity Personalized Diffusion Generation

• Published in: IEEE transactions on circuits and systems for video technology p. 1
• Main Authors: Li, Yang, Yang, Songlin, Wang, Wei, Dong, Jing
• Format: Journal Article
• Language: English
• Published: IEEE 2025
• Subjects: Accuracy; Circuits and systems; Diffusion models; Face recognition; Faces; Generative Models; Image synthesis; Optimization; Personalized Generation; Text to image; Text-to-Image Generation; Training; Transformers

Text-to-Image (T2I) personalization based on advanced diffusion models (e.g., Stable Diffusion), which aims to generate images of target subjects given various prompts, has drawn huge attention. However, when users require personalized image generation for specific subjects such as themselves or the...