Super-Resolving Unseen Hyperspectral Sensors at Any Scale via Spatial Operators

arXiv:2609.39926 · cs.CV · Submitted 2026-09-30 · Read on arXiv

cs.CV

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

Computer Vision and Pattern Recognition — 12× in this paper
Adaptation — 5× in this paper · explained in 1 episode
Cross-Spectral Mapping — 5× in this paper
Foundation Model — 5× in this paper · explained in 3 episodes
Continuous Operator-Field Reconstruction — 4× in this paper
Transformer — 4× in this paper · explained in 2 episodes
Ablation — 3× in this paper · explained in 1 episode
Accuracy — 3× in this paper · explained in 1 episode
CVF International Conference on Computer Vision — 3× in this paper
Consistency — 3× in this paper · explained in 3 episodes
Generative AI — 3× in this paper · explained in 2 episodes
Adam — 2× in this paper · explained in 2 episodes
Aggregation — 2× in this paper · explained in 1 episode
Decode — 2× in this paper · explained in 2 episodes
Foundation Models — 2× in this paper · explained in 7 episodes
Gaussian Splatting — 2× in this paper · explained in 4 episodes
Generalization — 2× in this paper · explained in 13 episodes
Normalizing Flow — 2× in this paper · explained in 3 episodes
Ablation study — 1× in this paper · explained in 1 episode
Diffusion Model — 1× in this paper · explained in 8 episodes
Diffusion Models — 1× in this paper · explained in 6 episodes
Domain Adaptation — 1× in this paper · explained in 5 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Hypernetwork — 1× in this paper · explained in 2 episodes
In International Conference on Learning Representations — 1× in this paper
Normalizing Flows — 1× in this paper · explained in 4 episodes

Terminology

Related papers