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

@inproceedings{cvpr2021_diffusion_16869,
  title = {{Diffusion Probabilistic Models for 3D Point Cloud Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2022_lion_66210,
  title = {{LION: Latent Point Diffusion Models for 3D Shape Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54673},
}

@inproceedings{neurips2020_softflow_60847,
  title = {{SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17551},
}

@inproceedings{cvpr2023_fast_20976,
  title = {{Fast Point Cloud Generation With Straight Flows}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21810},
}

@inproceedings{cvpr2023_controllable_20655,
  title = {{Controllable Mesh Generation Through Sparse Latent Point Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21977},
}

@inproceedings{aaai2018_towards_106020,
  title = {{Towards a Neural Conversation Model With Diversity Net Using Determinantal Point Processes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12062},
}

@inproceedings{aaai2016_tweet_105235,
  title = {{Tweet Timeline Generation with Determinantal Point Processes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10389},
}

@inproceedings{neurips2022_diffusion_65016,
  title = {{Diffusion-based Molecule Generation with Informative Prior Bridges}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54485},
}

@inproceedings{cvpr2024_tiger_24943,
  title = {{TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29487},
}

@inproceedings{cvpr2025_edgediff_26080,
  title = {{EdgeDiff: Edge-aware Diffusion Network for Building Reconstruction from Point Clouds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33846},
}

@inproceedings{neurips2023_dit_68197,
  title = {{DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71596},
}

@inproceedings{cvpr2025_scaling_27579,
  title = {{Scaling Mesh Generation via Compressive Tokenization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33503},
}

@inproceedings{cvpr2025_treemeshgpt_27952,
  title = {{TreeMeshGPT: Artistic Mesh Generation with Autoregressive Tree Sequencing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33051},
}

@inproceedings{cvpr2024_neural_24282,
  title = {{Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30080},
}

@inproceedings{cvpr2024_pointinfinity_24485,
  title = {{PointInfinity: Resolution-Invariant Point Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30631},
}

@inproceedings{icml2020_energy_38161,
  title = {{Energy-Based Processes for Exchangeable Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6254},
}

@inproceedings{aaai2025_scaling_10688,
  title = {{Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34144},
}

@inproceedings{cvpr2023_da_20679,
  title = {{DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21477},
}

@inproceedings{cvpr2024_texoct_24978,
  title = {{TexOct: Generating Textures of 3D Models with Octree-based Diffusion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31406},
}

@inproceedings{cvpr2025_sealion_27598,
  title = {{SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34856},
}

@inproceedings{iclr2025_edgerunner_80979,
  title = {{EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30789},
}

@inproceedings{neurips2024_uv_71075,
  title = {{UV-free Texture Generation with Denoising and Geodesic Heat Diffusion}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96138},
}

@inproceedings{aaai2026_rald_106639,
  title = {{RaLD: Generating High-Resolution 3D Radar Point Clouds with Latent Diffusion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38946},
}

@inproceedings{neurips2025_joint_77129,
  title = {{Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=QqCv9SI0X3},
}

@inproceedings{aaai2025_vvrec_11226,
  title = {{VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34106},
}

@inproceedings{icml2026_rethinking_54689,
  title = {{Rethinking 3D Shape Generation: Diffusion over Superquadrics}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=rVcYqFCgY9},
}

@inproceedings{iclr2025_not_80856,
  title = {{Not-So-Optimal Transport Flows for 3D Point Cloud Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30911},
}

@inproceedings{iclr2026_quartet_85183,
  title = {{Quartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry Guidance}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=BT9rsod6Hc},
}

@inproceedings{neurips2026_root_91931,
  title = {{Root-Selecting Fixed-Point Inversion for Rectified Flows via Trajectory Straightness}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151948},
}

@inproceedings{cvpr2026_partdiffuser_98560,
  title = {{PartDiffuser: Part-wise 3D Mesh Generation via Discrete Diffusion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Yang_PartDiffuser_Part-wise_3D_Mesh_Generation_via_Discrete_Diffusion_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_class_100505,
  title = {{Class-Partitioned VQ-VAE and Latent Flow Matching for Point Cloud Scene Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37352},
}