Metadata-Aware Adaptation of a Generative Foundation Model for Conditional CMR Synthesis

arXiv:2608.24342 · cs.CV, cs.AI · Submitted 2026-08-25 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-08-25

Updated: 2026-08-25

Code: https://github.com/rodriguezmarc/conditional-cmr

Terminology

Fidelity — 14× in this paper · explained in 2 episodes
Diffusion Model — 8× in this paper · explained in 8 episodes
Latent Diffusion Model — 6× in this paper · explained in 2 episodes
Foundation Model — 5× in this paper · explained in 3 episodes
Cardiac Magnetic Resonance — 4× in this paper
Diffusion Models — 4× in this paper · explained in 6 episodes
Inverse-Frequency Sampling — 4× in this paper
Contrastive Batching — 3× in this paper
Generative Model — 3× in this paper · explained in 2 episodes
Latent Diffusion Models — 3× in this paper · explained in 2 episodes
Ablation — 2× in this paper · explained in 1 episode
Adaptation — 2× in this paper · explained in 1 episode
Generative Models — 2× in this paper · explained in 2 episodes
Alignment — 1× in this paper · explained in 1 episode
Contrastive Learning — 1× in this paper · explained in 5 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
Distribution Shift — 1× in this paper · explained in 6 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Latent Space — 1× in this paper · explained in 7 episodes
Mean Absolute Error — 1× in this paper
MetadataFree Classifier-Free Guidance — 1× in this paper
Robustness — 1× in this paper · explained in 5 episodes
TUNED S TABLE D IFFUSION — 1× in this paper
WITH THE MAE AND MS-SSIM DIVERSITY RATIOS — 1× in this paper

Sources

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