Ultra-fast Neural Inference for Stochastic Gaussian Splatting Denoising

arXiv:2609.25604 · cs.CV, cs.GR · Submitted 2026-09-22 · Read on arXiv

cs.CV, cs.GR

Submitted: 2026-09-22

Updated: 2026-09-22

Code: https://github.com/NVIDIARTX/NVRHI

Terminology

Gaussian Splatting — 24× in this paper · explained in 4 episodes
alpha — 18× in this paper · explained in 1 episode
Zero-Shot Transfer — 9× in this paper · explained in 4 episodes
Consistency — 8× in this paper · explained in 3 episodes
3D Gaussian Splatting — 7× in this paper · explained in 2 episodes
Ablation — 7× in this paper · explained in 1 episode
Fidelity — 3× in this paper · explained in 2 episodes
Benchmark — 2× in this paper · explained in 2 episodes
Core — 2× in this paper · explained in 2 episodes
In International Conference on Learning Representations — 2× in this paper
3D Gaussian Splatting (3DGS) — 1× in this paper · explained in 4 episodes
Adaptation — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 3 episodes
Conference on Computer Vision and Pattern Recognition — 1× in this paper
Decode — 1× in this paper · explained in 2 episodes
Decoupling — 1× in this paper · explained in 2 episodes
Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Pruning — 1× in this paper · explained in 4 episodes

Sources

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