EchoLVFM: One-Step Video Generation via Latent Flow Matching for Echocardiogram Synthesis
Echocardiography is widely used for assessing cardiac function, where clinically meaningful parameters such as left-ventricular ejection fraction (EF) play a central role in diagnosis and management. Generative models capable of synthesising realistic echocardiogram videos with explicit control over such parameters are valuable for data augmentation, counterfactual analysis, and specialist training. However, existing approaches typically rely on computationally expensive multi-step sampling and aggressive temporal normalisation, limiting efficiency and applicability to heterogeneous real-world data. We introduce EchoLVFM, a one-step latent video flow-matching framework for controllable ec...
| Authors | Emmanuel Oladokun, Sarina Thomas, Jurica Šprem et al. |
|---|---|
| Primary category | eess.IV |
| Published | 14 March 2026 |
| Last updated at source | 14 March 2026 |
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