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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…

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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…

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