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Kangfu Mei

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#artificial intelligence Preprint Sep 2026

Training Object Permanence in World Models

This work introduces WROP (World Reasoning with Object Permanence), a data infrastructure of 150 hand-designed cognitive science inspired tasks, divided into six cognitive categories, and builds Blender generators that randomize speed, lighting, camera angle, and other nuisance parameters while preserving each task's c...

Hao-Tian Zhang, Feng-Yuan Yu, Dezhi Luo et al. · 0 citations
Preprint Aug 2026

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling

High-fidelity image generation faces a trade-off between speed and quality. Diffusion models produce strong visuals but require costly iterative sampling. Existing efficient methods mainly distill pretrained models into few-step samplers, a challenging process that depends heavily on teacher-model quality. In this pape...

Jin-Xiu Liu, Xuan Liu, Kang-Fu Mei et al. · 0 citations

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