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Neural Point-Based Graphics

arXiv 1906.08240 ↗First posted 19 Jun 2019cs.CVcited by 326

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Abstract (arXiv)

We present a new point-based approach for modeling the appearance of real scenes. The approach uses a raw point cloud as the geometric representation of a scene, and augments each point with a learnable neural descriptor that encodes local geometry and appearance. A deep rendering network is learned in parallel with the descriptors, so that new views of the scene can be obtained by passing the rasterizations of a point cloud from new viewpoints through this network. The input rasterizations use the learned descriptors as point pseudo-colors. We show that the proposed approach can be used for modeling complex scenes and obtaining their photorealistic views, while avoiding explicit surface estimation and meshing. In particular, compelling results are obtained for scene scanned using hand-held commodity RGB-D sensors as well as standard RGB cameras even in the presence of objects that are challenging for standard mesh-based modeling.

Key facts. Cited by 326 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Jun 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 59; 2022: 58; 2023: 86; 2024: 68; 2025: 38; 2026: 17.

326 papers.

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  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  2. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,607
  3. 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,061
  4. 2021IBRNet: Learning Multi-View Image-Based Renderingcited by 698
  5. 2023Scaffold-GS: Structured 3D Gaussians for View-Adaptive Renderingcited by 684
  6. 2021KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPscited by 672
  7. 2023pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstructioncited by 668
  8. 2022Point-NeRF: Point-based Neural Radiance Fieldscited by 503
  9. 2021Advances in Neural Renderingcited by 365
  10. 2023Compact 3D Gaussian Representation for Radiance Fieldcited by 365
  11. 2021Animatable Neural Radiance Fields for Modeling Dynamic Human Bodiescited by 361
  12. 2024GS-LRM: Large Reconstruction Model for 3D Gaussian Splattingcited by 344
38 more
  1. 2023Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Priorcited by 341
  2. 2023Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesiscited by 341
  3. 2023UniSim: A Neural Closed-Loop Sensor Simulatorcited by 294
  4. 2021Mixture of Volumetric Primitives for Efficient Neural Renderingcited by 277
  5. 2023Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformerscited by 257
  6. 2021A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Posecited by 233
  7. 2021Learning Object-Compositional Neural Radiance Field for Editable Scene Renderingcited by 228
  8. 2024A Survey on 3D Gaussian Splattingcited by 221
  9. 2024Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splattingcited by 218
  10. 2022NeRF-Editing: Geometry Editing of Neural Radiance Fieldscited by 216
  11. 2021HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fieldscited by 210
  12. 2021GeoNeRF: Generalizing NeRF with Geometry Priorscited by 195
  13. 2021Neural Rays for Occlusion-aware Image-based Renderingcited by 192
  14. 2021Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenescited by 190
  15. 2021Point-Based Neural Rendering with Per-View Optimizationcited by 188
  16. 2022PointAvatar: Deformable Point-based Head Avatars from Videoscited by 183
  17. 2023HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Samplingcited by 173
  18. 2023GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesiscited by 170
  19. 2023GauHuman: Articulated Gaussian Splatting from Monocular Human Videoscited by 168
  20. 2023TensoIR: Tensorial Inverse Renderingcited by 166
  21. 2024High-quality Surface Reconstruction using Gaussian Surfelscited by 159
  22. 2021Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Renderingcited by 158
  23. 2021H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motioncited by 157
  24. 2021Editable Free-viewpoint Video Using a Layered Neural Representationcited by 148
  25. 2021Revisiting Point Cloud Shape Classification with a Simple and Effective Baselinecited by 145
  26. 2024OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understandingcited by 141
  27. 2022StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learningcited by 140
  28. 2023Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracingcited by 138
  29. 20243D Gaussian Ray Tracing: Fast Tracing of Particle Scenescited by 138
  30. 2021Hallucinated Neural Radiance Fields in the Wildcited by 130
  31. 2021Pixel Codec Avatarscited by 125
  32. 2021NeRFReN: Neural Radiance Fields with Reflectionscited by 121
  33. 2022Generalizable Patch-Based Neural Renderingcited by 121
  34. 2023F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectoriescited by 118
  35. 2023Consistent View Synthesis with Pose-Guided Diffusion Modelscited by 117
  36. 2024latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstructioncited by 114
  37. 2021HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputscited by 112
  38. 2024Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splattingcited by 111

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