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Jaa-Yeon Lee

2 accepted papers

2026

Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models

ICML 2026spotlight

Diffusion models generate highly realistic images but often struggle with precise text–image alignment. While recent post-training methods improve alignment using external rewards or human preference signals, their performance heavily depends on reward quality and does not directly address alignment…

Cited by 0SourceScholar
2025

Aligning Text to Image in Diffusion Models is Easier Than You Think

NeurIPS 2025poster

While recent advancements in generative modeling have significantly improved text-image alignment, some residual misalignment between text and image representations still remains. Some approaches address this issue by fine-tuning models in terms of preference optimization, etc., which require tailo…

Cited by 0SourcecodeScholar