% Key papers for World-model video generation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2025_drivedreamer_8811,
  title = {{DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33130},
}

@inproceedings{cvpr2025_drivedreamer4d_26006,
  title = {{DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34218},
}

@inproceedings{cvpr2022_playable_19586,
  title = {{Playable Environments: Video Manipulation in Space and Time}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2025_dreamphysics_8809,
  title = {{DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32389},
}

@inproceedings{cvpr2025_finephys_26264,
  title = {{FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33553},
}

@inproceedings{neurips2025_force_78433,
  title = {{Force Prompting: Video Generation Models Can Learn And Generalize Physics-based Control Signals}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=eX5aXfJQZc},
}

@inproceedings{cvpr2025_maskgwm_26926,
  title = {{MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33624},
}

@inproceedings{icml2025_how_46553,
  title = {{How Far Is Video Generation from World Model: A Physical Law Perspective}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46015},
}

@inproceedings{iclr2025_diffusion_82015,
  title = {{Diffusion Models Are Real-Time Game Engines}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29770},
}

@inproceedings{cvpr2025_interdyn_26641,
  title = {{InterDyn: Controllable Interactive Dynamics with Video Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33892},
}

@inproceedings{icml2024_robodreamer_45186,
  title = {{RoboDreamer: Learning Compositional World Models for Robot Imagination}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33266},
}

@inproceedings{neurips2025_video_76271,
  title = {{Video World Models with Long-term Spatial Memory}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=HbTxc6U1fO},
}

@inproceedings{neurips2025_worldmodelbench_77998,
  title = {{WorldModelBench: Judging Video Generation Models As World Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=a3hafrDzuA},
}

@inproceedings{aaai2026_pre_100725,
  title = {{Pre-Trained Video Generative Models as World Simulators}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/42465},
}

@inproceedings{cvpr2025_pomp_27195,
  title = {{POMP: Physics-consistent Motion Generative Model through Phase Manifolds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34291},
}

@inproceedings{neurips2024_learning_72059,
  title = {{Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95263},
}

@inproceedings{aaai2025_automv_8191,
  title = {{AutoMV: An Autonomous Agent Framework for Real Estate Marketing Video Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35377},
}

@inproceedings{icml2025_worldsimbench_48299,
  title = {{WorldSimBench: Towards Video Generation Models as World Simulators}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44315},
}

@inproceedings{neurips2025_sekai_76307,
  title = {{Sekai: A Video Dataset towards World Exploration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=I3F7w8MvY9},
}

@inproceedings{neurips2025_sampo_76988,
  title = {{SAMPO: Scale-wise Autoregression with Motion Prompt for Generative World Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=PJOwQ77Mul},
}

@inproceedings{neurips2025_the_77017,
  title = {{The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Pe18madbPm},
}