mlsanityData to 14 Oct 2026

Camera Splatting for Continuous View Optimization

arXiv 2509.15677 ↗First posted 19 Sep 2025cs.CVcited by 0

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Abstract (arXiv)

We propose Camera Splatting, a novel view optimization framework for novel view synthesis. Each camera is modeled as a 3D Gaussian, referred to as a camera splat, and virtual cameras, termed point cameras, are placed at 3D points sampled near the surface to observe the distribution of camera splats. View optimization is achieved by continuously and differentiably refining the camera splats so that desirable target distributions are observed from the point cameras, in a manner similar to the original 3D Gaussian splatting. Compared to the Farthest View Sampling (FVS) approach, our optimized views demonstrate superior performance in capturing complex view-dependent phenomena, including intense metallic reflections and intricate textures such as text.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 22 of its 37 references that are in the map. First posted on arXiv 19 Sep 2025.

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22 of 37 references.

References · 22

  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  2. 2017What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?cited by 2,352
  3. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
  4. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
  5. 2023DUSt3R: Geometric 3D Vision Made Easycited by 1,567
  6. 2025VGGT: Visual Geometry Grounded Transformercited by 1,539
  7. 2020Neural Sparse Voxel Fieldscited by 959
  8. 2022ActiveNeRF: Learning where to See with Uncertainty Estimationcited by 127
  9. 2023FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Informationcited by 64
  10. 2022Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fieldscited by 60
  11. 2022NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction with Implicit Neural Representationscited by 55
  12. 2022Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fieldscited by 54
10 more
  1. 2023NeU-NBV: Next Best View Planning Using Uncertainty Estimation in Image-Based Neural Renderingcited by 54
  2. 2024GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstructioncited by 39
  3. 2022ActiveRMAP: Radiance Field for Active Mapping And Planningcited by 30
  4. 2019Supervised Learning of the Next-Best-View for 3D Object Reconstructioncited by 24
  5. 2023Improving NeRF Quality by Progressive Camera Placement for Unrestricted Navigation in Complex Environmentscited by 19
  6. 2024Modeling uncertainty for Gaussian Splattingcited by 19
  7. 2017Submodular Trajectory Optimization for Aerial 3D Scanningcited by 16
  8. 2024NeRF Director: Revisiting View Selection in Neural Volume Renderingcited by 15
  9. 2024Manifold Sampling for Differentiable Uncertainty in Radiance Fieldscited by 12
  10. 2024Frequency-based View Selection in Gaussian Splatting Reconstructioncited by 4

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