Remote Sensing Sparse-View 3D Gaussian Splatting via Depth Image-Based Rendering

arXiv:2609.35612 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/kanehub/DIBR-GS

Terminology

Consistency — 21× in this paper · explained in 3 episodes
Gaussian Splatting — 20× in this paper · explained in 4 episodes
Point Clouds — 13× in this paper · explained in 2 episodes
Regularization — 12× in this paper · explained in 3 episodes
Ablation — 9× in this paper · explained in 1 episode
3D Gaussian Splatting — 7× in this paper · explained in 2 episodes
Ablation study — 5× in this paper · explained in 1 episode
Depth Image-Based Rendering — 5× in this paper
Fidelity — 5× in this paper · explained in 2 episodes
Redundancy — 5× in this paper · explained in 2 episodes
Accuracy — 3× in this paper · explained in 1 episode
Transformer — 3× in this paper · explained in 2 episodes
3D Gaussian Splatting (3DGS) — 2× in this paper · explained in 4 episodes
Aggregation — 2× in this paper · explained in 1 episode
Feature Extraction — 2× in this paper · explained in 2 episodes
Activation Function — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
AdamW Optimizer — 1× in this paper · explained in 1 episode
Computational overhead — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Pruning — 1× in this paper · explained in 4 episodes
Robustness — 1× in this paper · explained in 5 episodes

Sources

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