ControlGS: Conditioning Neural Gaussians for Downstream-Processing-Aware XR Rendering

arXiv:2609.32038 · cs.CV, cs.GR · Submitted 2026-09-25 · Read on arXiv

cs.CV, cs.GR

Submitted: 2026-09-25

Updated: 2026-09-25

Comments: Accepted to Siggraph Asia'26, 36 pages, poject page: https://horizon-lab.org/controlgs/

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Gaussian Splatting — 19× in this paper · explained in 4 episodes
3D Gaussian Splatting — 8× in this paper · explained in 2 episodes
ACM Transactions on Graphics — 6× in this paper
Sim-to-Real Gap — 5× in this paper · explained in 6 episodes
Ablation — 4× in this paper · explained in 1 episode
Decode — 4× in this paper · explained in 2 episodes
Robustness — 4× in this paper · explained in 5 episodes
Adaptation — 3× in this paper · explained in 1 episode
Calibration — 3× in this paper · explained in 7 episodes
Ablation Studies — 2× in this paper · explained in 1 episode
3D Gaussian Splatting (3DGS) — 1× in this paper · explained in 4 episodes
Consistency — 1× in this paper · explained in 3 episodes
Diffusion Model — 1× in this paper · explained in 8 episodes
Diffusion Models — 1× in this paper · explained in 6 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Generalization — 1× in this paper · explained in 13 episodes
Image Signal Processor — 1× in this paper
Pruning — 1× in this paper · explained in 4 episodes
Verification — 1× in this paper · explained in 2 episodes
alpha — 1× in this paper · explained in 1 episode

Sources

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