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Si-Yuan Luo

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Preprint Aug 2026

Vorch-Omni: Multi-Task Orchestration of Sight and Sound

Vorch-Omni is presented, a unified multi-task framework for audio-visual synthesis based on an arbitrary-condition-to-arbitrary-output formulation that supports over 10 tasks, including text-to-video, text-to-audio-video, image- and reference-conditioned generation, temporal extension, audio-driven generation, video tr...

Vorch Team, Xiaoyu Chen, Yang Ding et al. · 0 citations
#robotics Jul 2026

Agentic Real2Sim: Physics-based World Modeling with Vision-Language Agents

Agentic Real2Sim is introduced, a framework for generalized physical world modeling with vision-language agents, converting a real-world recording of object-robot interaction into a simulatable episodic twin which preserves observations, geometries, robot interactions, and object states.

Guan-Xiong Chen, Qian-Jun Xia, Jia-Wei Peng et al. · 0 citations
#machine learning Preprint Aug 2026

JEPA-x: Cross-Predictive Physics Grounding for Forecastable Latent Dynamics

This work introduces the cross-predictive JEPA (JEPA-x), which grounds latent dynamics in privileged physical trajectories, and shows that direct physical-state regression improves decodability without improving forecastability or control, indicating that the benefit comes from shaping latent dynamics rather than merel...

Kehan Wen, Ziming Li, Si-Yuan Luo et al. · 1 citation

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