Explore computer vision and deep learning applications in gaming through this 29-minute webinar featuring Srinath Sridhar. Delve into topics such as full body posture estimation, hand pose detection, object reconstruction, and neural network architectures for 3D modeling. Discover how these technologies are revolutionizing gaming experiences, from Microsoft Flight Simulator to context-aware mixed reality. Gain insights into the challenges and goals of implementing computer vision in gaming, and understand the differences between computer vision and computer graphics. Learn about synthetic data generation and its role in advancing gaming pipelines. Conclude with a comprehensive summary of the state of computer vision in gaming and its future potential.
3D Deep Learning for Gaming with Srinath Sridhar and Stanford Artificial Intelligence