WINGS: Reference-Free Gaussian Splatting Inpainting with 3D-Native Generative Priors

arXiv:2609.37816 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

Gaussian Splatting — 20× in this paper · explained in 4 episodes
Adaptation — 16× in this paper · explained in 1 episode
Alignment — 14× in this paper · explained in 1 episode
3D Gaussian Splatting — 10× in this paper · explained in 2 episodes
Consistency — 10× in this paper · explained in 3 episodes
Ablation — 8× in this paper · explained in 1 episode
Benchmark — 8× in this paper · explained in 2 episodes
Diffusion Model — 8× in this paper · explained in 8 episodes
Latent Space — 8× in this paper · explained in 7 episodes
Conference on Computer Vision and Pattern Recognition — 7× in this paper
Fidelity — 6× in this paper · explained in 2 episodes
Transformer — 6× in this paper · explained in 2 episodes
Diffusion Models — 5× in this paper · explained in 6 episodes
Generative Model — 5× in this paper · explained in 2 episodes
Decode — 3× in this paper · explained in 2 episodes
Generative Models — 3× in this paper · explained in 3 episodes
Ablation study — 2× in this paper · explained in 1 episode
Adam — 2× in this paper · explained in 2 episodes
Admissibility — 2× in this paper · explained in 2 episodes
Fine-Tuning — 2× in this paper · explained in 5 episodes
Kernel Inception Distance — 2× in this paper
Latent Diffusion Model — 2× in this paper · explained in 2 episodes
Latent Diffusion Models — 2× in this paper · explained in 2 episodes
Latent Representation — 2× in this paper · explained in 2 episodes
Rectified Flow — 2× in this paper · explained in 3 episodes
Regularization — 2× in this paper · explained in 3 episodes
Self-consistency — 2× in this paper · explained in 2 episodes
3D Gaussian Splatting (3DGS) — 1× in this paper · explained in 4 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Attention Mechanism — 1× in this paper · explained in 3 episodes
Bradley-Terry model — 1× in this paper · explained in 2 episodes
CVF International Conference on Computer Vision — 1× in this paper
Computational overhead — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
Distillation — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Inverse Problem — 1× in this paper · explained in 2 episodes
Joint Attention — 1× in this paper · explained in 2 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Nash Equilibrium — 1× in this paper · explained in 2 episodes
Optical Flow — 1× in this paper · explained in 2 episodes
Reconstruction Error — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes
Segmentation Masks — 1× in this paper · explained in 2 episodes
U-net architecture — 1× in this paper · explained in 3 episodes
Winter Conference on Applications of Computer Vision — 1× in this paper

Sources

Adam: A Method for Stochastic Optimization

Terminology

Sources

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