[
    {
        "id": "osp-17671",
        "type": "article-journal",
        "title": "Phase-aware video generation for physics-grounded dynamics and interactions",
        "author": [
            {
                "family": "Ou",
                "given": "Jingfeng"
            },
            {
                "family": "Wang",
                "given": "Kun"
            },
            {
                "family": "Zhao",
                "given": "Rui"
            },
            {
                "family": "Guan",
                "given": "Jingwei"
            },
            {
                "family": "Wang",
                "given": "Limin"
            },
            {
                "family": "Dong",
                "given": "Chao"
            },
            {
                "family": "Zeng",
                "given": "Xingyu"
            }
        ],
        "URL": "https://omanscience.com/ar/articles/phase-aware-video-generation-for-physics-grounded-dynamics-and-interactions",
        "language": "en",
        "issued": {
            "date-parts": [
                [
                    2026
                ]
            ]
        },
        "abstract": "Generating physically plausible videos for solid-gas dynamics is challenging as different phases exhibit distinct dynamics yet remain coupled through physical interactions. We present PAVG, a Phase-Aware Video Generator for solid-gas dynamics and interactions. It employs a dual-branch architecture to explicitly model the distinct dynamics of solids and gases, while spatiotemporal cross-attention captures their physical interactions. This design enables PAVG to preserve phasespecific motion characteristics while producing physically consistent responses across phases. To facilitate this task, we further construct a simulation corpus comprising over 700K physical trajectories across diverse solid, gas, and solid-gas interaction scenarios. Extensive evaluations demonstrate that our PAVG produces videos with improved motion adherence, physical plausibility, and visual quality compared with existing approaches."
    }
]