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

@inproceedings{cvpr2022_extracting_18810,
  title = {{Extracting Triangular 3D Models, Materials, and Lighting From Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_text2mesh_20002,
  title = {{Text2Mesh: Text-Driven Neural Stylization for Meshes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_stylesdf_19952,
  title = {{StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2022_get3d_64435,
  title = {{GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55188},
}

@inproceedings{cvpr2024_meshgpt_24136,
  title = {{MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30751},
}

@inproceedings{neurips2021_deep_61772,
  title = {{Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26723},
}

@inproceedings{cvpr2019_scan2mesh_14772,
  title = {{Scan2Mesh: From Unstructured Range Scans to 3D Meshes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_leveraging_15832,
  title = {{Leveraging 2D Data to Learn Textured 3D Mesh Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{icml2020_polygen_38624,
  title = {{PolyGen: An Autoregressive Generative Model of 3D Meshes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6851},
}

@inproceedings{cvpr2022_stylemesh_19951,
  title = {{StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_meshlet_15882,
  title = {{Meshlet Priors for 3D Mesh Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_deep_18605,
  title = {{Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them From 2D Renderings}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2022_shape_65092,
  title = {{Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53553},
}

@inproceedings{cvpr2024_paint_24425,
  title = {{Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31531},
}

@inproceedings{cvpr2020_joint_15722,
  title = {{Joint Texture and Geometry Optimization for RGB-D Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2025_craftsman3d_25788,
  title = {{CraftsMan3D: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32391},
}

@inproceedings{cvpr2022_neural_19437,
  title = {{Neural Mesh Simplification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2022_tango_66513,
  title = {{TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55121},
}

@inproceedings{cvpr2021_plan2scene_17611,
  title = {{Plan2Scene: Converting Floorplans to 3D Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{iclr2023_meshdiffusion_31918,
  title = {{MeshDiffusion: Score-based Generative 3D Mesh Modeling}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11403},
}

@inproceedings{cvpr2025_sf3d_27516,
  title = {{SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32882},
}

@inproceedings{neurips2024_meshxl_71358,
  title = {{MeshXL: Neural Coordinate Field for Generative 3D Foundation Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95891},
}

@inproceedings{cvpr2024_3d_22624,
  title = {{3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30727},
}

@inproceedings{aaai2024_rethinking_7131,
  title = {{Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28613},
}

@inproceedings{cvpr2024_objects_24326,
  title = {{Objects as Volumes: A Stochastic Geometry View of Opaque Solids}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31217},
}

@inproceedings{cvpr2024_as_22784,
  title = {{As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30290},
}

@inproceedings{cvpr2025_geometry_26434,
  title = {{Geometry in Style: 3D Stylization via Surface Normal Deformation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33940},
}

@inproceedings{iclr2025_meshanything_81711,
  title = {{MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30068},
}

@inproceedings{cvpr2024_locally_24022,
  title = {{Locally Adaptive Neural 3D Morphable Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30802},
}

@inproceedings{cvpr2025_fancy123_26234,
  title = {{Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33304},
}

@inproceedings{neurips2024_meta_71740,
  title = {{Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95547},
}

@inproceedings{cvpr2024_differentiable_23194,
  title = {{Differentiable Micro-Mesh Construction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29768},
}

@inproceedings{neurips2024_dmesh_71510,
  title = {{DMesh: A Differentiable Mesh Representation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95753},
}

@inproceedings{neurips2024_meshformer_74473,
  title = {{MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93101},
}

@inproceedings{aaai2025_textured_10965,
  title = {{Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D Graphics}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33082},
}

@inproceedings{aaai2025_mesh_9943,
  title = {{Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33196},
}

@inproceedings{cvpr2024_tuttenet_25096,
  title = {{TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30718},
}