Media Content

AI Assets related to #Media Content

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Neural Networks and Deep Learning

Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML), notably in Deep Neural Networks (DNNs), which are essentially massive ‘learning by experience/examples’ systems. T...

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Machine Learning

Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML). Its applications span and revolutionize almost every human activity: - Autonomous Systems (cars, drones, vessels)...

Education resources related to #Media Content

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Recently, ChatGPT, along with DALL-E-2 and Codex ,has been gaining significant attention from society. As a result, many individuals have become interested in related resources and are seeking to uncover the background and secrets behind its impressive pe...

Experience Driven Content Generation

Procedural content generation (PCG) is an increasingly important area of technology within modern human-computer interaction (HCI) design. Personalization of user experience via affective and cognitive modeling, coupled with real-time adjustment of the co...

GANs for Media Content Generation

Generative Adversarial Networks (GANs) are part of the cutting edge in recent machine learning research. The lectures were presented live by senior or Postdoc researchers from several AI4Media consortium members and collaborators across Europe.

Generative Adversarial Networks in Multimedia Content Creation

Deep Convolutional Generative Adversarial Networks (DCGAN) have been used to generate highly compelling pictures or videos, such as manipulated facial animations, interior and outdoor images, videos.