PhD student, University of Science and Technology of China
2 papers at NeurIPS 2025
HiFlow is a training-free and model-agnostic framework to unlock the resolution potential of pre-trained flow models.
improve both generation quality and efficiency of autoregressive image generation by leveraging entropy of token-wise probability distributions
