Interpretable Similarity of Synthetic Image Utility

arXiv:2512.17080 · cs.CV · Submitted 2025-12-18 · Read on arXiv

cs.CV

Submitted: 2025-12-18

Updated: 2026-09-24

Comments: This is the preprint version of an article published in IEEE Transactions on Medical Imaging, vol. 45, no. 7, pp. 3529-3544, July 2026. The final published version is available at https://doi.org/10.1109/TMI.2026.3679527

Journal ref: IEEE Transactions on Medical Imaging, vol. 45, no. 7, pp. 3529-3544, 2026

DOI: 10.1109/TMI.2026.3679527

Code: https://github.com/innoisys/ius1

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

Terminology

AUC — 48× in this paper · explained in 2 episodes
Accuracy — 26× in this paper · explained in 1 episode
Interpretability — 8× in this paper · explained in 15 episodes
Fidelity — 7× in this paper · explained in 2 episodes
Diffusion Model — 6× in this paper · explained in 8 episodes
Diffusion Models — 5× in this paper · explained in 6 episodes
Generalization — 5× in this paper · explained in 13 episodes
Benchmark — 3× in this paper · explained in 2 episodes
Convolutional Neural Network — 3× in this paper
Cosine Similarity — 3× in this paper · explained in 3 episodes
Deep Learning — 3× in this paper
Robustness — 3× in this paper · explained in 5 episodes
Very Low — 3× in this paper
Ablation — 2× in this paper · explained in 1 episode
Ablation study — 2× in this paper · explained in 1 episode
Conference on Computer Vision and Pattern Recognition — 2× in this paper
Domain Shift — 2× in this paper · explained in 4 episodes
Inception Score — 2× in this paper
Interpretable Utility Similarity — 2× in this paper
Latent Diffusion Model — 2× in this paper · explained in 2 episodes
Abstraction — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Data Augmentation — 1× in this paper · explained in 7 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Generalizability — 1× in this paper · explained in 6 episodes
Generative AI — 1× in this paper · explained in 2 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes
Kernel Inception Distance — 1× in this paper
Latent Diffusion Model (LDM) — 1× in this paper · explained in 2 episodes
Latent Diffusion Models — 1× in this paper · explained in 2 episodes
Peak Signal-to-Noise Ratio — 1× in this paper
Redundancy — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes
Selection Bias — 1× in this paper · explained in 4 episodes
Synthetic Data Generation — 1× in this paper · explained in 5 episodes
Transformer — 1× in this paper · explained in 2 episodes
Wavelet Transform — 1× in this paper · explained in 2 episodes

Terminology

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