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Learning Descriptor Networks for 3D Shape Synthesis and Analysis

arXiv 1804.00586 ↗First posted 2 Apr 2018cs.CVcited by 56

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Abstract (arXiv)

This paper proposes a 3D shape descriptor network, which is a deep convolutional energy-based model, for modeling volumetric shape patterns. The maximum likelihood training of the model follows an "analysis by synthesis" scheme and can be interpreted as a mode seeking and mode shifting process. The model can synthesize 3D shape patterns by sampling from the probability distribution via MCMC such as Langevin dynamics. The model can be used to train a 3D generator network via MCMC teaching. The conditional version of the 3D shape descriptor net can be used for 3D object recovery and 3D object super-resolution. Experiments demonstrate that the proposed model can generate realistic 3D shape patterns and can be useful for 3D shape analysis.

Key facts. Cited by 56 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Apr 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 13; 2022: 14; 2023: 17; 2024: 8; 2025: 3; 2026: 1.

56 papers.

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  1. 2022LION: Latent Point Diffusion Models for 3D Shape Generationcited by 552
  2. 20213D Shape Generation and Completion through Point-Voxel Diffusioncited by 516
  3. 2022SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generationcited by 287
  4. 2023Text2Tex: Text-driven Texture Synthesis via Diffusion Modelscited by 234
  5. 2023HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidancecited by 109
  6. 20223DILG: Irregular Latent Grids for 3D Generative Modelingcited by 92
  7. 2023TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Modelscited by 86
  8. 2021GraphEBM: Molecular Graph Generation with Energy-Based Modelscited by 85
  9. 2023InfiniCity: Infinite-Scale City Synthesiscited by 68
  10. 2024SPAD : Spatially Aware Multiview Diffuserscited by 62
  11. 2021Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Predictioncited by 57
  12. 2022Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Surveycited by 54
38 more
  1. 2022Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learningcited by 54
  2. 2023Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-trainingcited by 52
  3. 2021Learning Generative Models of Textured 3D Meshes from Real-World Imagescited by 44
  4. 2022A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Modelcited by 44
  5. 2023SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priorscited by 43
  6. 2023DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generationcited by 23
  7. 2021Building-GAN: Graph-Conditioned Architectural Volumetric Design Generationcited by 20
  8. 2025Pippo: High-Resolution Multi-View Humans from a Single Imagecited by 20
  9. 2023Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihoodcited by 19
  10. 2024AToM: Amortized Text-to-Mesh using 2D Diffusioncited by 18
  11. 2022Learning Probabilistic Models from Generator Latent Spaces with Hat EBMcited by 11
  12. 2023Pushing the Limits of 3D Shape Generation at Scalecited by 11
  13. 2021Bounds all around: training energy-based models with bidirectional boundscited by 10
  14. 2023Training Energy-Based Models with Diffusion Contrastive Divergencescited by 9
  15. 2021Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translationcited by 8
  16. 2021Energy-Based Generative Cooperative Saliency Predictioncited by 8
  17. 2022Monocular 3D Object Reconstruction with GAN Inversioncited by 8
  18. 2023Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Modelscited by 8
  19. 2021Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Viewscited by 7
  20. 2022Gradient-Guided Importance Sampling for Learning Binary Energy-Based Modelscited by 6
  21. 2024MaterialSeg3D: Segmenting Dense Materials from 2D Priors for 3D Assetscited by 6
  22. 2022IC3D: Image-Conditioned 3D Diffusion for Shape Generationcited by 5
  23. 2022PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understandingcited by 5
  24. 2023Context-Aware Transformer for 3D Point Cloud Automatic Annotationcited by 5
  25. 2021Staying in Shape: Learning Invariant Shape Representations using Contrastive Learningcited by 4
  26. 2022Combating Mode Collapse in GANs via Manifold Entropy Estimationcited by 4
  27. 2024Learning Coherent Matrixized Representation in Latent Space for Volumetric 4D Generationcited by 4
  28. 2024Flow Score Distillation for Diverse Text-to-3D Generationcited by 4
  29. 2021EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Modelscited by 3
  30. 2021Learning Proposals for Practical Energy-Based Regressioncited by 3
  31. 2022An Energy-Based Prior for Generative Saliencycited by 3
  32. 2024GenUDC: High Quality 3D Mesh Generation with Unsigned Dual Contouring Representationcited by 3
  33. 2021Energy Aligning for Biased Modelscited by 2
  34. 2023Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representationcited by 2
  35. 2023Maximizing Discrimination Capability of Knowledge Distillation with Energy Functioncited by 2
  36. 2022CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashingcited by 1
  37. 2024Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion?cited by 1
  38. 2026CustomTex: High-fidelity Indoor Scene Texturing via Multi-Reference Customizationcited by 1

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