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Shun-Zi Yang

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#machine learning Preprint Oct 2026

RealtimeWAM: One-Step Asynchronous World Action Models

World Action Models (WAMs) incorporate visual representations from video generation backbones to guide action prediction. Recent efficient WAMs adopt Mixture-of-Transformers (MoT) architectures and compute video representations once for reuse by the action expert. However, intra-expert iteration (\ie, multi-step action...

Cheng-Tao Lv, Jin-Yang Du, Shu-Yi Feng et al. · 0 citations

#computer vision Preprint Aug 2026

MaskFlow: Precise, Consistent and Seamless Regional Image Editing

The proposed MaskFlow, a training framework for precise localization, consistent background preservation, and seamless boundary transitions, incorporates the mask into the probability path and flow-matching objective, coordinating generation within the editable region with source preservation outside it.

Rui Xu, Yang Yong, Shun-Zi Yang et al. · 0 citations