Visual Generative Model and Its Applications

University of Oulu

The course will discuss how the visual generative models can be effectively applied to downstream tasks such as diagnostic support, segmentation, and anomaly detection. Additionally, the class will highlight the use of generative models in art creation, demonstrating innovative approaches to incorporate art evaluation metrics into the training loop, enabling more refined and aesthetically pleasing outputs. A key aspect of the session will address strategies to accelerate the sampling process, introducing both training-free and low-cost optimization techniques to enhance efficiency without compromising performance.

This lecture aims to bridge theoretical foundations with hands-on applications, catering to learners interested in both technical advancements and real-world implementations of visual generative models.

The invited lecturer is Wei Peng from University of Stanford. More information about the course from Professor Guoying Zhao.

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