Changwang Mei — accepted AI-conference papers

2026

SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration

Zekun Li, Ning Wang, Tongxin Bai, Changwang Mei, Peisong Wang, Shuang Qiu +1

CVPR 2026

Visual AutoRegressive (VAR) modeling has garnered significant attention for its innovative next-scale prediction paradigm. However, mainstream VAR paradigms attend to all tokens across historical scales at each autoregressive step. As the next scale resolution grows, the computational complexity of

Cited by 0 Source ↗code ↗Scholar ↗

2025

FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing

Yingying Deng, Xiangyu He, Changwang Mei, Peisong Wang, Fan Tang

ICML 2025poster

Though Rectified Flows (ReFlows) with distillation offer a promising way for fast sampling, its fast inversion transforms images back to structured noise for recovery and following editing remains unsolved. This paper introduces FireFlow, an embarrassingly simple yet effective zero-shot approach tha…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗