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

@inproceedings{neurips2016_learning_55833,
  title = {{Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7371},
}

@inproceedings{cvpr2019_learning_14398,
  title = {{Learning Implicit Fields for Generative Shape Modeling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_efficient_18737,
  title = {{Efficient Geometry-Aware 3D Generative Adversarial Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2018_a_12803,
  title = {{A Papier-Mâché Approach to Learning 3D Surface Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Groueix_A_Papier-Mache_Approach_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_bsp_15181,
  title = {{BSP-Net: Generating Compact Meshes via Binary Space Partitioning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2017_synthesizing_12677,
  title = {{Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes With Deep Generative Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2023_sdfusion_22094,
  title = {{SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23235},
}

@inproceedings{cvpr2022_autosdf_18319,
  title = {{AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2017_surfnet_12672,
  title = {{SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{neurips2018_visual_57771,
  title = {{Visual Object Networks: Image Generation with Disentangled 3D Representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11039},
}

@inproceedings{cvpr2020_pq_16012,
  title = {{PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2023_diffusion_20801,
  title = {{Diffusion-SDF: Text-To-Shape via Voxelized Diffusion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23057},
}

@inproceedings{cvpr2017_deep_12187,
  title = {{Deep View Morphing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{neurips2018_rendernet_57569,
  title = {{RenderNet: A deep convolutional network for differentiable rendering from 3D shapes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11757},
}

@inproceedings{cvpr2022_towards_20048,
  title = {{Towards Implicit Text-Guided 3D Shape Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2020_learning_103691,
  title = {{Learning Part Generation and Assembly for Structure-Aware Shape Synthesis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6798},
}

@inproceedings{cvpr2023_diffusion_20800,
  title = {{Diffusion-Based Signed Distance Fields for 3D Shape Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21188},
}

@inproceedings{neurips2020_generative_59940,
  title = {{Generative 3D Part Assembly via Dynamic Graph Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/16837},
}

@inproceedings{cvpr2021_decor_16789,
  title = {{DECOR-GAN: 3D Shape Detailization by Conditional Refinement}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_3d_16519,
  title = {{3D Shape Generation With Grid-Based Implicit Functions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2025_dora_25996,
  title = {{Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34804},
}

@inproceedings{cvpr2024_mosaic_24190,
  title = {{Mosaic-SDF for 3D Generative Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29386},
}

@inproceedings{cvpr2024_doodle_23256,
  title = {{Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30710},
}

@inproceedings{cvpr2025_instant3dit_26636,
  title = {{Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34149},
}

@inproceedings{cvpr2025_preditor3d_27289,
  title = {{PrEditor3D: Fast and Precise 3D Shape Editing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33700},
}

@inproceedings{cvpr2024_shapewalk_24812,
  title = {{ShapeWalk: Compositional Shape Editing Through Language-Guided Chains}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30187},
}

@inproceedings{cvpr2024_towards_25045,
  title = {{Towards High-fidelity Artistic Image Vectorization via Texture-Encapsulated Shape Parameterization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30372},
}

@inproceedings{iclr2024_sin3dm_34538,
  title = {{Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18536},
}

@inproceedings{cvpr2024_hypersdfusion_23734,
  title = {{HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31468},
}

@inproceedings{cvpr2025_neural_27060,
  title = {{Neural Hierarchical Decomposition for Single Image Plant Modeling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32387},
}

@inproceedings{cvpr2025_shape_27653,
  title = {{Shape My Moves: Text-Driven Shape-Aware Synthesis of Human Motions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34552},
}

@inproceedings{cvpr2026_native_98077,
  title = {{Native and Compact Structured Latents for 3D Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Xiang_Native_and_Compact_Structured_Latents_for_3D_Generation_CVPR_2026_paper.html},
}

@inproceedings{cvpr2025_genvdm_26403,
  title = {{GenVDM: Generating Vector Displacement Maps From a Single Image}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34965},
}

@inproceedings{cvpr2025_dnf_25832,
  title = {{DNF: Unconditional 4D Generation with Dictionary-based Neural Fields}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33392},
}

@inproceedings{cvpr2025_shapewords_27656,
  title = {{ShapeWords: Guiding Text-to-Image Synthesis with 3D Shape-Aware Prompts}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33771},
}

@inproceedings{iclr2024_tuvf_34812,
  title = {{TUVF: Learning Generalizable Texture UV Radiance Fields}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18262},
}

@inproceedings{cvpr2025_hypernet_26551,
  title = {{HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34246},
}

@inproceedings{cvpr2025_shapeshifter_27655,
  title = {{ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33070},
}

@inproceedings{icml2026_crag_49412,
  title = {{CRAG: Can 3D Generative Models Help 3D Assembly?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=2Ndp39vgTE},
}

@inproceedings{neurips2025_gpstoken_75780,
  title = {{GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=BxoEDR2yQM},
}