Papers by Sharon X Huang
ANCHOR: LLM-driven Subject Conditioning for Text-to-Image Synthesis (2026.findings-acl)
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| Challenge: | Text-to-image (T2I) models are trained on literal, object-centric prompts designed to reflect the visible contents of an image. |
| Approach: | They propose a method to extract key subjects and enhance their representation at embedding-level using Large Language Models. |
| Outcome: | The proposed model significantly improves image-caption consistency and human preference alignment. |