Exploring the Hyperparameter Space of Image Diffusion Models for Echocardiogram Generation
On the map: Diffusion models → Medical imaging and segmentation
Abstract (arXiv)
This work presents an extensive hyperparameter search on Image Diffusion Models for Echocardiogram generation. The objective is to establish foundational benchmarks and provide guidelines within the realm of ultrasound image and video generation. This study builds over the latest advancements, including cutting-edge model architectures and training methodologies. We also examine the distribution shift between real and generated samples and consider potential solutions, crucial to train efficient models on generated data. We determine an Optimal FID score of 0.88 for our research problem and achieve an FID of 2.60. This work is aimed at contributing valuable insights and serving as a reference for further developments in the specialized field of ultrasound image and video generation.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Medical imaging and segmentation, one of 14 directions in Diffusion models. Builds on 7 of its 10 references that are in the map. First posted on arXiv 2 Nov 2023.
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- 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,122
- 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,255
- 2022Elucidating the Design Space of Diffusion-Based Generative Modelscited by 3,045
- 2022eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoiserscited by 931
- 2022Refining Generative Process with Discriminator Guidance in Score-based Diffusion Modelscited by 100
- 2022D'ARTAGNAN: Counterfactual Video Generationcited by 28
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- 2023Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentation
- 2024Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms
- 2025Ultrasound Image Generation using Latent Diffusion Models
- 2024Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation
- 2024Sequential Posterior Sampling with Diffusion Models
- 2024Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis
- 2024Explainable and Controllable Motion Curve Guided Cardiac Ultrasound Video Generation