Professor, Korea Advanced Institute of Science and Technology
1 paper 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.
