mlsanityData to 7 Oct 2026

DC4GS: Directional Consistency-Driven Adaptive Density Control for 3D Gaussian Splatting

arXiv 2510.26921 ↗First posted 30 Oct 2025cs.CVcited by 2

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Abstract (arXiv)

We present a Directional Consistency (DC)-driven Adaptive Density Control (ADC) for 3D Gaussian Splatting (DC4GS). Whereas the conventional ADC bases its primitive splitting on the magnitudes of positional gradients, we further incorporate the DC of the gradients into ADC, and realize it through the angular coherence of the gradients. Our DC better captures local structural complexities in ADC, avoiding redundant splitting. When splitting is required, we again utilize the DC to define optimal split positions so that sub-primitives best align with the local structures than the conventional random placement. As a consequence, our DC4GS greatly reduces the number of primitives (up to 30% in our experiments) than the existing ADC, and also enhances reconstruction fidelity greatly.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 34 of its 46 references that are in the map. First posted on arXiv 30 Oct 2025.

Builds on

34 of 46 references.

References · 34

  1. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  2. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  3. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  4. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
  5. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,957
  6. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,607
  7. 2020D-NeRF: Neural Radiance Fields for Dynamic Scenescited by 1,459
  8. 2022TensoRF: Tensorial Radiance Fieldscited by 1,275
  9. 20234D Gaussian Splatting for Real-Time Dynamic Scene Renderingcited by 1,144
  10. 2021PlenOctrees for Real-time Rendering of Neural Radiance Fieldscited by 904
  11. 2023Scaffold-GS: Structured 3D Gaussians for View-Adaptive Renderingcited by 684
  12. 2023Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fieldscited by 667
22 more
  1. 2023Mip-Splatting: Alias-free 3D Gaussian Splattingcited by 661
  2. 2021FastNeRF: High-Fidelity Neural Rendering at 200FPScited by 510
  3. 2023Compact 3D Gaussian Representation for Radiance Fieldcited by 365
  4. 2022MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architecturescited by 308
  5. 2024Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenescited by 226
  6. 20243D Gaussian Splatting as Markov Chain Monte Carlocited by 210
  7. 2024Revising Densification in Gaussian Splattingcited by 127
  8. 2024Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splattingcited by 111
  9. 2024FreGS: 3D Gaussian Splatting with Progressive Frequency Regularizationcited by 103
  10. 20243D Gaussian as a New Era: A Surveycited by 102
  11. 2024GES: Generalized Exponential Splatting for Efficient Radiance Field Renderingcited by 92
  12. 2024AbsGS: Recovering Fine Details for 3D Gaussian Splattingcited by 80
  13. 2024Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integrationcited by 66
  14. 2018The promises and pitfalls of Stochastic Gradient Langevin Dynamicscited by 56
  15. 2024BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modelingcited by 42
  16. 2024SA-GS: Scale-Adaptive Gaussian Splatting for Training-Free Anti-Aliasingcited by 40
  17. 2024On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategycited by 39
  18. 2023HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfacescited by 28
  19. 2024Bilateral Guided Radiance Field Processingcited by 28
  20. 2024Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Priorcited by 12
  21. 2024Mipmap-GS: Let Gaussians Deform with Scale-specific Mipmap for Anti-aliasing Renderingcited by 9
  22. 2024Improving Gaussian Splatting with Localized Points Managementcited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Two-View Accumulation as the Primary Training Lever for Hybrid-Capture Gaussian Splatting: A Variance-Decomposition View of When Gradient Surgery Helpscited by 0
  2. 2026TopoGS: Topology-Aware Anchor Feature Aggregation for Large-Scale 3D Gaussian Splattingcited by 0