% Key papers for 3D-aware generative radiance fields (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2021_giraffe_17055,
  title = {{GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_pi_17604,
  title = {{Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2020_graf_59922,
  title = {{GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17773},
}

@inproceedings{cvpr2022_gram_18905,
  title = {{GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{iclr2022_stylenerf_31588,
  title = {{StyleNeRF: A Style-based 3D Aware Generator for High-resolution Image Synthesis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6113},
}

@inproceedings{cvpr2024_dl3dv_23090,
  title = {{DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30026},
}

@inproceedings{cvpr2022_3d_18183,
  title = {{3D-Aware Image Synthesis via Learning Structural and Textural Representations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_one_21767,
  title = {{One-Shot High-Fidelity Talking-Head Synthesis With Deformable Neural Radiance Field}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22912},
}

@inproceedings{neurips2022_voxgraf_65417,
  title = {{VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55334},
}

@inproceedings{iclr2023_geneface_32748,
  title = {{GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/12262},
}

@inproceedings{cvpr2023_3d_20271,
  title = {{3D-Aware Conditional Image Synthesis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23167},
}

@inproceedings{cvpr2023_singraf_22211,
  title = {{SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21556},
}

@inproceedings{cvpr2023_learning_21340,
  title = {{Learning 3D-Aware Image Synthesis With Unknown Pose Distribution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22289},
}

@inproceedings{cvpr2023_learning_21358,
  title = {{Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis From Monocular Image}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22926},
}

@inproceedings{aaai2023_semantic_4660,
  title = {{Semantic 3D-Aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25278},
}

@inproceedings{cvpr2024_g_23538,
  title = {{G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31535},
}

@inproceedings{neurips2022_improving_64887,
  title = {{Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54585},
}

@inproceedings{iclr2024_efficient_33575,
  title = {{Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19500},
}

@inproceedings{neurips2023_benchmarking_67860,
  title = {{Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73617},
}

@inproceedings{cvpr2026_scaling_96372,
  title = {{Scaling View Synthesis Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Kim_Scaling_View_Synthesis_Transformers_CVPR_2026_paper.html},
}