DP-Splat: Bayesian Nonparametric Complexity Control for Gaussian Splatting

arXiv:2607.10912 · cs.CV · Submitted 2026-07-12 · Read on arXiv

cs.CV

Submitted: 2026-07-12

Updated: 2026-09-21

Terminology

Gaussian Splatting — 14× in this paper · explained in 4 episodes
Calibration — 9× in this paper · explained in 7 episodes
3D Gaussian Splatting — 6× in this paper · explained in 2 episodes
Pruning — 4× in this paper · explained in 4 episodes
Variational Bayes — 4× in this paper · explained in 2 episodes
Benchmark — 3× in this paper · explained in 2 episodes
Trace — 3× in this paper · explained in 2 episodes
Variational Bayes Gaussian Splatting — 3× in this paper
Verification — 3× in this paper · explained in 2 episodes
alpha — 3× in this paper · explained in 1 episode
Continual Learning — 2× in this paper · explained in 2 episodes
Wasserstein Distance — 2× in this paper · explained in 4 episodes
3D Gaussian Splatting (3DGS) — 1× in this paper · explained in 4 episodes
Adaptation — 1× in this paper · explained in 1 episode
Clustering — 1× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 1× in this paper
Consistency — 1× in this paper · explained in 3 episodes
Failure Modes — 1× in this paper · explained in 3 episodes
Fisher Information — 1× in this paper · explained in 3 episodes
Parsimony — 1× in this paper · explained in 2 episodes
Point Clouds — 1× in this paper · explained in 2 episodes

Sources

Related papers