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Surgen: Text-guided diffusion model for surgical video generation
Diffusion-based video generation models have made significant strides, producing outputs
with improved visual fidelity, temporal coherence, and user control. These advancements …
with improved visual fidelity, temporal coherence, and user control. These advancements …
ChildDiffusion: Unlocking the potential of generative AI and controllable augmentations for child facial data using stable diffusion and large language models
In this research work we have proposed high-level ChildDiffusion framework capable of
generating photorealistic child facial samples and further embedding several intelligent …
generating photorealistic child facial samples and further embedding several intelligent …
IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models
With the rapid development of diffusion models, text-to-image (T2I) models have made
significant progress, showcasing impressive abilities in prompt following and image …
significant progress, showcasing impressive abilities in prompt following and image …
A Comparative Study on Diffusion Sampling Methods Across Diverse Medical Imaging Modalities
The evaluation of diffusion-based image sampling methods is pivotal in improving the
quality and reliability of synthetic data generation, particularly in medical imaging …
quality and reliability of synthetic data generation, particularly in medical imaging …
To train, or not to train: exploring foundation models for TBAD segmentation
Recent advancements in biomedical image analysis have been significantly influenced by
vision foundation models (FMs) originally designed for general computer vision tasks. These …
vision foundation models (FMs) originally designed for general computer vision tasks. These …