Generative AI

Creating Realistic Avatars in the Metaverse Using Generative AI

clock 3:50 pm - 4:40 pm

In the burgeoning world of the Metaverse, a collective virtual shared space, users interact via their self-designed avatars. Crafting these avatars to reflect the realistic semblance of the users remains a pivotal challenge. Generative AI, with its capacity to learn and create from data, including intricate facial and body scans, has been recognized as a potential solution for this challenge.

Starting with a foundational understanding of generative AI, this session unfolds the mystery behind generative models, their operational mechanism, and their application in creating lifelike avatars in the Metaverse. Diving deeper, you will be introduced to the wide range of generative models available and educated on how to discern the most apt one for avatar creation based on various factors such as control, data availability, and computational resources.

A significant portion of the session is dedicated to elucidating the process of collecting and preparing the training data.Transitioning from theory to practice, we’ll venture into the process of training the generative model, encompassing the selection of hyperparameters, appropriate loss function, and training progress monitoring. The final stretch of the journey will take you through the process of avatar creation and refinement using the trained model, enabling customization to imbue the avatar with realistic and unique characteristics.

In the context of increasingly realistic avatars, potential biases and ethical considerations become paramount. We conclude by discussing these aspects, emphasizing how to prevent biases and ensure that our creations mirror the diversity of users in the Metaverse.

Key Takeaways:

  • Understanding the role and function of generative AI in creating realistic avatars.
  • Insights into choosing the right generative model based on different factors.
  • Knowledge about data collection and preparation for model training.
  • Practical skills to train the generative model and create, refine avatars.
  • Awareness of potential biases and ethical considerations in avatar creation.
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