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cs.SD2026
Do Joint Audio-Video Generation Models Understand Physics?
Zijun Cui, Xiulong Liu, Hao Fang +8
Joint audio-video generation models are rapidly approaching professional production quality, raising a central question: do they understand audio-visual physics, or merely generate…
cs.SD2026
OmniSonic: Towards Universal and Holistic Audio Generation from Video and Text
Weiguo Pian, Saksham Singh Kushwaha, Zhimin Chen +4
In this paper, we propose Universal Holistic Audio Generation (UniHAGen), a task for synthesizing comprehensive auditory scenes that include both on-screen and off-screen sounds ac…
cs.CV2026
A Skill-augmented Agentic Framework and Benchmark for Multi-Video Understanding
Yue Zhang, Liqiang Jing, Jia Li +4
Multimodal Large Language Models have achieved strong performance in single-video understanding, yet their ability to reason across multiple videos remains limited. Existing approa…