Associate Professor, Beijing University of Posts and Telecommunications
2 papers at NeurIPS 2025
We explore a training-free confidence-aware fusion framework that adaptively combines features from SD3, SD, and DINO for zero-shot semantic matching.
A general-purpose framework for accurate and efficient diffusion inversion via noise embedding optimization, enabling few-step inference and robust performance on novel samples.
