DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles

arXiv:2602.15355 · cs.CV · Submitted 2026-02-17 · Read on arXiv

cs.CV

Submitted: 2026-02-17

Updated: 2026-08-26

Terminology

• Gaussian Splatting — 37× in this paper · explained in 5 episodes
• 3D Gaussian Splatting — 13× in this paper · explained in 2 episodes
• Fidelity — 12× in this paper · explained in 2 episodes
• 3D Reconstruction — 9× in this paper · explained in 1 episode
• Diffusion Model — 9× in this paper · explained in 10 episodes
• Uncertainty Quantification — 8× in this paper · explained in 9 episodes
• Epistemic Uncertainty — 6× in this paper · explained in 12 episodes
• Active Perception — 5× in this paper · explained in 2 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Diffusion Models — 4× in this paper · explained in 9 episodes
• Hyperparameters — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Optimal Transport — 3× in this paper · explained in 5 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Coherence — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Hallucination — 2× in this paper · explained in 4 episodes
• IEEE International Conference on Robotics and Automation — 2× in this paper
• Regularization — 2× in this paper · explained in 3 episodes
• Wasserstein Distance — 2× in this paper · explained in 5 episodes
• 2-Wasserstein Distance — 1× in this paper · explained in 1 episode
• 3D Gaussian Splatting (3DGS) — 1× in this paper · explained in 6 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation Study — 1× in this paper · explained in 3 episodes
• Augmentation — 1× in this paper · explained in 2 episodes
• Computational Efficiency — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 5 episodes
• Latent Diffusion Model — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Learned Perceptual Image Patch Similarity — 1× in this paper
• Mode Collapse — 1× in this paper · explained in 2 episodes
• Monotonicity — 1× in this paper · explained in 2 episodes
• Monte Carlo Dropout — 1× in this paper · explained in 3 episodes
• Mutual Information — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Papers — 1× in this paper · explained in 3 episodes
• Parameterization — 1× in this paper · explained in 2 episodes
• Physical Constraints — 1× in this paper · explained in 7 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Quantifying Uncertainty — 1× in this paper · explained in 5 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Structural Consistency — 1× in this paper · explained in 2 episodes
• Structural Integrity — 1× in this paper · explained in 3 episodes
• While Gaussian Splatting Wang Tiles — 1× in this paper

Sources

• InstantSplat: Sparse-view Gaussian Splatting in Seconds
• Optimizing 3D Gaussian Splatting for Sparse Viewpoint Scene Reconstruction
• Uncertainty-Driven Active Vision for Implicit Scene Reconstruction
• Peering into the Unknown: Active View Selection with Neural Uncertainty Maps for 3D Reconstruction
• Surface-Based Visibility-Guided Uncertainty for Continuous Active 3D Neural Reconstruction
• Active3D: Active High-Fidelity 3D Reconstruction via Hierarchical Uncertainty Quantification
• Neural Radiance Fields for the Real World: A Survey
• 3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing
• Uncertainty-guided Optimal Transport in Depth Supervised Sparse-View 3D Gaussian
• Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning
• GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction
• ActiveInitSplat: How Active Image Selection Helps Gaussian Splatting
• Active View Selector: Fast and Accurate Active View Selection with Cross Reference Image Quality Assessment
• CityGS-X: A Scalable Architecture for Efficient and Geometrically Accurate Large-Scale Scene Reconstruction
• FLoD: Integrating Flexible Level of Detail into 3D Gaussian Splatting for Customizable Rendering
• LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering
• Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models
• ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

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