mlsanityData to 7 Oct 2026

PolyGen: An Autoregressive Generative Model of 3D Meshes

arXiv 2002.10880 ↗First posted 23 Feb 2020cs.GR cs.CV cs.LGcited by 267

Not on the map. Why?

Cited by 41 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Polygon meshes are an efficient representation of 3D geometry, and are of central importance in computer graphics, robotics and games development. Existing learning-based approaches have avoided the challenges of working with 3D meshes, instead using alternative object representations that are more compatible with neural architectures and training approaches. We present an approach which models the mesh directly, predicting mesh vertices and faces sequentially using a Transformer-based architecture. Our model can condition on a range of inputs, including object classes, voxels, and images, and because the model is probabilistic it can produce samples that capture uncertainty in ambiguous scenarios. We show that the model is capable of producing high-quality, usable meshes, and establish log-likelihood benchmarks for the mesh-modelling task. We also evaluate the conditional models on surface reconstruction metrics against alternative methods, and demonstrate competitive performance despite not training directly on this task.

Key facts. Cited by 267 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Feb 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 24; 2022: 35; 2023: 45; 2024: 60; 2025: 48; 2026: 55.

267 papers.

Sort:

By area:

  1. 2024Structured 3D Latents for Scalable and Versatile 3D Generationcited by 742
  2. 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimizationcited by 555
  3. 2022LION: Latent Point Diffusion Models for 3D Shape Generationcited by 552
  4. 2021Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesiscited by 459
  5. 20233DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Modelscited by 449
  6. 2022GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Imagescited by 446
  7. 2024CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assetscited by 444
  8. 2023OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generationcited by 324
  9. 2023One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusioncited by 283
  10. 2021DeepCAD: A Deep Generative Network for Computer-Aided Design Modelscited by 266
  11. 2021CLIP-Forge: Towards Zero-Shot Text-to-Shape Generationcited by 254
  12. 2023MeshGPT: Generating Triangle Meshes with Decoder-Only Transformerscited by 254
38 more
  1. 2022VectorMapNet: End-to-end Vectorized HD Map Learningcited by 243
  2. 2023Text2Tex: Text-driven Texture Synthesis via Diffusion Modelscited by 234
  3. 2023MeshDiffusion: Score-based Generative 3D Mesh Modelingcited by 198
  4. 2021ATISS: Autoregressive Transformers for Indoor Scene Synthesiscited by 195
  5. 2023XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchiescited by 183
  6. 2025Native and Compact Structured Latents for 3D Generationcited by 157
  7. 2023MotionLM: Multi-Agent Motion Forecasting as Language Modelingcited by 154
  8. 2022Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Modelscited by 151
  9. 2024MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformerscited by 140
  10. 2023Flexible Isosurface Extraction for Gradient-Based Mesh Optimizationcited by 138
  11. 2022D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Videocited by 136
  12. 2023Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generationcited by 133
  13. 2024Recent Advances in 3D Gaussian Splattingcited by 130
  14. 2023Locally Attentional SDF Diffusion for Controllable 3D Shape Generationcited by 129
  15. 2022Diffusion-SDF: Text-to-Shape via Voxelized Diffusioncited by 128
  16. 2022SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebookscited by 121
  17. 2024CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refinercited by 120
  18. 2022ShapeFormer: Transformer-based Shape Completion via Sparse Representationcited by 106
  19. 2024MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenizationcited by 102
  20. 2024BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometrycited by 101
  21. 2024MeshXL: Neural Coordinate Field for Generative 3D Foundation Modelscited by 100
  22. 2024SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Modelcited by 95
  23. 2021ShaRF: Shape-conditioned Radiance Fields from a Single Viewcited by 92
  24. 20223DILG: Irregular Latent Grids for 3D Generative Modelingcited by 92
  25. 2022SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generationcited by 92
  26. 2022POCO: Point Convolution for Surface Reconstructioncited by 91
  27. 2023TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Modelscited by 86
  28. 2021SceneGen: Learning to Generate Realistic Traffic Scenescited by 83
  29. 2021Computer-Aided Design as Languagecited by 82
  30. 2022SolidGen: An Autoregressive Model for Direct B-rep Synthesiscited by 78
  31. 2025SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modelingcited by 76
  32. 2024CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLMcited by 74
  33. 2024Scaling Mesh Generation via Compressive Tokenizationcited by 71
  34. 2021SketchGen: Generating Constrained CAD Sketchescited by 68
  35. 2022ALSO: Automotive Lidar Self-supervision by Occupancy estimationcited by 68
  36. 2021Vitruvion: A Generative Model of Parametric CAD Sketchescited by 66
  37. 2023SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulationcited by 66
  38. 2023PolyDiff: Generating 3D Polygonal Meshes with Diffusion Modelscited by 66

50 most cited of 267 All 267 (JSON)