% Key papers for Monocular dynamic scene reconstruction (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2024_deformable_23136,
  title = {{Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30813},
}

@inproceedings{cvpr2024_physgaussian_24460,
  title = {{PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30974},
}

@inproceedings{cvpr2024_3dgstream_22630,
  title = {{3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31414},
}

@inproceedings{cvpr2024_4k4d_22638,
  title = {{4K4D: Real-Time 4D View Synthesis at 4K Resolution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30831},
}

@inproceedings{cvpr2024_align_22745,
  title = {{Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31856},
}

@inproceedings{cvpr2025_mosca_26976,
  title = {{MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33623},
}

@inproceedings{neurips2024_l4gm_72004,
  title = {{L4GM: Large 4D Gaussian Reconstruction Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95310},
}

@inproceedings{cvpr2025_freetimegs_26319,
  title = {{FreeTimeGS: Free Gaussian Primitives at Anytime Anywhere for Dynamic Scene Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34914},
}

@inproceedings{neurips2024_dreammesh4d_70603,
  title = {{DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96515},
}

@inproceedings{cvpr2024_guess_23650,
  title = {{Guess The Unseen: Dynamic 3D Scene Reconstruction from Partial 2D Glimpses}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29957},
}

@inproceedings{cvpr2025_gs_26375,
  title = {{GS-DiT: Advancing Video Generation with Dynamic 3D Gaussian Fields through Efficient Dense 3D Point Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33893},
}

@inproceedings{neurips2024_dynamic_74499,
  title = {{Dynamic 3D Gaussian Fields for Urban Areas}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93077},
}

@inproceedings{neurips2024_neuma_70980,
  title = {{NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96224},
}

@inproceedings{neurips2024_hdr_71451,
  title = {{HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95805},
}

@inproceedings{neurips2024_queen_70718,
  title = {{QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96406},
}

@inproceedings{cvpr2025_efficient_26094,
  title = {{Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33809},
}

@inproceedings{cvpr2025_himor_26504,
  title = {{HiMoR: Monocular Deformable Gaussian Reconstruction with Hierarchical Motion Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32479},
}

@inproceedings{neurips2024_gic_72243,
  title = {{GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95099},
}

@inproceedings{cvpr2025_riggs_27466,
  title = {{RigGS: Rigging of 3D Gaussians for Modeling Articulated Objects in Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34636},
}

@inproceedings{neurips2025_feed_79334,
  title = {{Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=oGc1qHAUBJ},
}