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

@inproceedings{cvpr2018_mocogan_13375,
  title = {{MoCoGAN: Decomposing Motion and Content for Video Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Tulyakov_MoCoGAN_Decomposing_Motion_CVPR_2018_paper.html},
}

@inproceedings{cvpr2024_vbench_25182,
  title = {{VBench: Comprehensive Benchmark Suite for Video Generative Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30230},
}

@inproceedings{icml2018_stochastic_37012,
  title = {{Stochastic Video Generation with a Learned Prior}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2191},
}

@inproceedings{cvpr2023_magvit_21473,
  title = {{MAGVIT: Masked Generative Video Transformer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21979},
}

@inproceedings{cvpr2019_video_15002,
  title = {{Video Generation From Single Semantic Label Map}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2024_evalcrafter_23391,
  title = {{EvalCrafter: Benchmarking and Evaluating Large Video Generation Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29818},
}

@inproceedings{iclr2021_a_30020,
  title = {{A Good Image Generator Is What You Need for High-Resolution Video Synthesis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2810},
}

@inproceedings{cvpr2025_depthcrafter_25898,
  title = {{DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33026},
}

@inproceedings{aaai2018_hierarchical_105772,
  title = {{Hierarchical Video Generation From Orthogonal Information: Optical Flow and Texture}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11881},
}

@inproceedings{aaai2019_learning_101840,
  title = {{Learning Dynamic Generator Model by Alternating Back-Propagation through Time}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4978},
}

@inproceedings{aaai2021_vid_1613,
  title = {{Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/02412-vid-ode-continuous-time-video-generation-with-neural-ordinary-differential-equation/},
}

@inproceedings{cvpr2024_on_24342,
  title = {{On the Content Bias in Frechet Video Distance}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29816},
}

@inproceedings{iclr2022_generating_31020,
  title = {{Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/5954},
}

@inproceedings{cvpr2023_mostgan_21579,
  title = {{MoStGAN-V: Video Generation With Temporal Motion Styles}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21387},
}

@inproceedings{neurips2022_generating_65128,
  title = {{Generating Long Videos of Dynamic Scenes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55049},
}

@inproceedings{cvpr2025_koala_26685,
  title = {{Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33496},
}

@inproceedings{iclr2020_scaling_29791,
  title = {{Scaling Autoregressive Video Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=rJgsskrFwH},
}

@inproceedings{neurips2020_hierarchical_60002,
  title = {{Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17381},
}

@inproceedings{cvpr2025_openhumanvid_27157,
  title = {{OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35209},
}

@inproceedings{cvpr2025_generative_26418,
  title = {{Generative Inbetweening through Frame-wise Conditions-Driven Video Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34631},
}

@inproceedings{cvpr2025_video_28086,
  title = {{Video-Bench: Human-Aligned Video Generation Benchmark}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33048},
}

@inproceedings{aaai2025_contextualstory_8523,
  title = {{ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33153},
}

@inproceedings{cvpr2025_goku_26445,
  title = {{Goku: Flow Based Video Generative Foundation Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33453},
}

@inproceedings{neurips2024_cv_70792,
  title = {{CV-VAE: A Compatible Video VAE for Latent Generative Video Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96337},
}

@inproceedings{neurips2025_improving_79235,
  title = {{Improving Video Generation with Human Feedback}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=nHkg4yc7SP},
}

@inproceedings{cvpr2025_generative_26427,
  title = {{Generative Video Propagation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33355},
}

@inproceedings{cvpr2025_snapgen_27696,
  title = {{SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34472},
}

@inproceedings{neurips2024_4real_72237,
  title = {{4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95105},
}

@inproceedings{neurips2025_infinitystar_76466,
  title = {{InfinityStar: Unified Spacetime AutoRegressive Modeling for Visual Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=JcEqp4aPmb},
}

@inproceedings{neurips2025_geovideo_78160,
  title = {{GeoVideo: Introducing Geometric Regularization into Video Generation Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=be6u40gq0Y},
}

@inproceedings{neurips2025_autoregressive_79070,
  title = {{Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=lF6SHARvmG},
}

@inproceedings{cvpr2025_freepca_26316,
  title = {{FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32633},
}

@inproceedings{cvpr2025_vidtwin_28079,
  title = {{VidTwin: Video VAE with Decoupled Structure and Dynamics}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34068},
}