MS student, Korea Advanced Institute of Science & Technology
2 papers at NeurIPS 2025
We propose Diffusion Adaptive Text Embedding (DATE), which improves text-to-image diffusion models by dynamically refining text embeddings throughout the diffusion sampling process.
We propose a training-free safe generation method to guide text embeddings for safe text-to-image diffusion models.
