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Qianyu Peng

2 accepted papers

2026

MAMBO-G: Magnitude-Aware Mitigation for Boosted Guidance

ICML 2026poster

High-fidelity text-to-image and text-to-video generation typically relies on Classifier-Free Guidance (CFG), but achieving optimal results often demands computationally expensive sampling schedules. In this work, we propose MAMBO-G, a training-free acceleration framework that significantly reduces c…

Cited by 0SourceScholar
2025

Accelerating Diffusion Sampling via Exploiting Local Transition Coherence

ICCV 2025poster

Text-based diffusion models have made significant breakthroughs in generating high-quality images and videos from textual descriptions. However, the lengthy sampling time of the denoising process remains a significant bottleneck in practical applications. Previous methods either ignore the statistic…