mlsanityData to 14 Oct 2026

3D Representation Methods: A Survey

arXiv 2410.06475 ↗First posted 9 Oct 2024cs.CVcited by 5

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Abstract (arXiv)

The field of 3D representation has experienced significant advancements, driven by the increasing demand for high-fidelity 3D models in various applications such as computer graphics, virtual reality, and autonomous systems. This review examines the development and current state of 3D representation methods, highlighting their research trajectories, innovations, strength and weakness. Key techniques such as Voxel Grid, Point Cloud, Mesh, Signed Distance Function (SDF), Neural Radiance Field (NeRF), 3D Gaussian Splatting, Tri-Plane, and Deep Marching Tetrahedra (DMTet) are reviewed. The review also introduces essential datasets that have been pivotal in advancing the field, highlighting their characteristics and impact on research progress. Finally, we explore potential research directions that hold promise for further expanding the capabilities and applications of 3D representation methods.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 50 of its 60 references that are in the map. First posted on arXiv 9 Oct 2024.

Builds on

50 of 60 references.

References · 50

  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  2. 2016PointNet: Deep Learning on Point Sets for 3D Classification and Segmentationcited by 5,248
  3. 2017PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacecited by 4,401
  4. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  5. 2017ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenescited by 3,117
  6. 2015ShapeNet: An Information-Rich 3D Model Repositorycited by 2,897
  7. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,689
  8. 2018Dynamic Graph CNN for Learning on Point Cloudscited by 2,223
  9. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
  10. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,964
  11. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
  12. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,540
38 more
  1. 2020Point Transformercited by 1,470
  2. 2017Matterport3D: Learning from RGB-D Data in Indoor Environmentscited by 1,376
  3. 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,290
  4. 2020NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collectionscited by 1,232
  5. 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,205
  6. 20234D Gaussian Splatting for Real-Time Dynamic Scene Renderingcited by 1,157
  7. 2020NeRF++: Analyzing and Improving Neural Radiance Fieldscited by 861
  8. 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 843
  9. 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 774
  10. 2023Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstructioncited by 759
  11. 2023Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesiscited by 737
  12. 2022Point-E: A System for Generating 3D Point Clouds from Complex Promptscited by 699
  13. 2020GRAF: Generative Radiance Fields for 3D-Aware Image Synthesiscited by 689
  14. 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creationcited by 687
  15. 2023Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fieldscited by 671
  16. 2023Mip-Splatting: Alias-free 3D Gaussian Splattingcited by 667
  17. 2018Pixel2Mesh: Generating 3D Mesh Models from Single RGB Imagescited by 651
  18. 2018AtlasNet: A Papier-Mach'e Approach to Learning 3D Surface Generationcited by 539
  19. 2019Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Datacited by 532
  20. 2021Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesiscited by 460
  21. 2017Neural 3D Mesh Renderercited by 437
  22. 2023Tri-Perspective View for Vision-Based 3D Semantic Occupancy Predictioncited by 409
  23. 2023Shap-E: Generating Conditional 3D Implicit Functionscited by 385
  24. 2021ABO: Dataset and Benchmarks for Real-World 3D Object Understandingcited by 366
  25. 20203D-FUTURE: 3D Furniture shape with TextUREcited by 311
  26. 2018Pix3D: Dataset and Methods for Single-Image 3D Shape Modelingcited by 218
  27. 2022AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generationcited by 208
  28. 2023Scalable 3D Captioning with Pretrained Modelscited by 203
  29. 2017Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputscited by 189
  30. 2019DeepHuman: 3D Human Reconstruction from a Single Imagecited by 182
  31. 2022VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Gridscited by 133
  32. 2023Locally Attentional SDF Diffusion for Controllable 3D Shape Generationcited by 130
  33. 2023Vox-E: Text-guided Voxel Editing of 3D Objectscited by 115
  34. 2021A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representationcited by 114
  35. 2022SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generationcited by 92
  36. 2023OTAvatar: One-shot Talking Face Avatar with Controllable Tri-plane Renderingcited by 67
  37. 2023PET-NeuS: Positional Encoding Tri-Planes for Neural Surfacescited by 37
  38. 2023TriHuman : A Real-time and Controllable Tri-plane Representation for Detailed Human Geometry and Appearance Synthesiscited by 28

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 4; 2026: 1.

5 papers.

  1. 20253D Human Interaction Generation: A Surveycited by 7
  2. 2025MinkOcc: Towards real-time label-efficient semantic occupancy predictioncited by 2
  3. 2026DreamCAD: Scaling Multi-modal CAD Generation using Differentiable Parametric Surfacescited by 2
  4. 2025Grids Often Outperform Implicit Neural Representations at Compressing Dense Signalscited by 1
  5. 2025A Controllable 3D Deepfake Generation Framework with Gaussian Splattingcited by 0