Local Epistemic Uncertainty Guided Active Sampling for Plug-and-play Diffusive Image Restoration

arXiv:2608.06981 · cs.CV · Submitted 2026-08-07 · Read on arXiv

cs.CV

Submitted: 2026-08-07

Updated: 2026-10-06

Terminology

Diffusion Model — 28× in this paper · explained in 8 episodes
Epistemic Uncertainty — 25× in this paper · explained in 10 episodes
Diffusion Models — 18× in this paper · explained in 6 episodes
Consistency — 15× in this paper · explained in 3 episodes
Inverse Problem — 14× in this paper · explained in 2 episodes
Pruning — 11× in this paper · explained in 4 episodes
Fidelity — 10× in this paper · explained in 2 episodes
Trace — 8× in this paper · explained in 2 episodes
Redundancy — 7× in this paper · explained in 2 episodes
Ablation — 5× in this paper · explained in 1 episode
Uncertainty-Calibrated Prior Modulation — 5× in this paper
Ablation study — 4× in this paper · explained in 1 episode
Robustness — 4× in this paper · explained in 5 episodes
State-Aware Trajectory Pruning — 4× in this paper
Accuracy — 3× in this paper · explained in 1 episode
Diffusion Model-based Image Restoration — 3× in this paper
Diffusion Process — 3× in this paper · explained in 2 episodes
Fisher Information — 3× in this paper · explained in 3 episodes
Adaptation — 2× in this paper · explained in 1 episode
Core — 2× in this paper · explained in 2 episodes
Denoising Diffusion Probabilistic Models — 2× in this paper
Generalization — 2× in this paper · explained in 13 episodes
Generative Model — 2× in this paper · explained in 2 episodes
Generative Modeling — 2× in this paper · explained in 3 episodes
Generative Models — 2× in this paper · explained in 2 episodes
Regularization — 2× in this paper · explained in 3 episodes
Time Series Forecasting — 2× in this paper · explained in 3 episodes
Transformer — 2× in this paper · explained in 2 episodes
Uncertainty Quantification — 2× in this paper · explained in 8 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Activation Function — 1× in this paper · explained in 1 episode
Adaptive Sampling — 1× in this paper · explained in 1 episode
Adaptive Step Sizing — 1× in this paper · explained in 1 episode
Aleatoric Uncertainty — 1× in this paper · explained in 5 episodes
Benchmark — 1× in this paper · explained in 2 episodes
Compressed Sensing — 1× in this paper
Computational Biology — 1× in this paper · explained in 2 episodes
Contrastive Learning — 1× in this paper · explained in 5 episodes
Decoupling — 1× in this paper · explained in 2 episodes
Exposure Bias — 1× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Information Gain — 1× in this paper · explained in 2 episodes
Latent Diffusion Model — 1× in this paper · explained in 2 episodes
Latent Diffusion Models — 1× in this paper · explained in 2 episodes
Learned Perceptual Image Patch Similarity — 1× in this paper
Observed Fisher Information Matrix — 1× in this paper
Over-smoothing — 1× in this paper · explained in 4 episodes
Peak Signal-to-Noise Ratio — 1× in this paper
Provenance — 1× in this paper · explained in 4 episodes
Score Function — 1× in this paper · explained in 4 episodes
Selection Bias — 1× in this paper · explained in 4 episodes

Local Epistemic Uncertainty Guided Active Sampling for Plug-and-play Diffusive Image Restoration

Terminology

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