fudanyliu/ADGDM
Repository for ‘Anomaly Detection and Generation with Diffusion Models: A Survey’.
This survey provides a comprehensive guide to using diffusion models for identifying unusual patterns and generating realistic synthetic data across various data types like images, videos, and time series. It explains the theoretical basis and practical applications, revealing how these models can improve both anomaly detection and data generation. Researchers and practitioners in fields dealing with complex data can use this resource to understand and implement advanced anomaly solutions.
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Use this if you are a researcher or practitioner interested in leveraging the latest diffusion model techniques for detecting anomalies or generating synthetic data in domains involving images, videos, time series, tabular, or multimodal data.
Not ideal if you are looking for a simple, off-the-shelf software tool to immediately apply to your data without delving into the underlying methodologies.
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Jun 15, 2025
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