Presented by Ilke Demir, Senior Research Scientist at Intel One picture is worth a thousand words. What about 100 simultaneous videos to reconstruct every frame of life in a dome? Is this data enough to reconstruct and digitize us realistically? Similar to other industries, the entertainment industry is also being reshaped by AI, especially towards AR/VR consumption. Before democratization of AI and data, such immersive experiences were lacking an essential element: photorealism. As our data increased, our models got deeper, and the reality became decipherable. This talk will introduce recent deep learning advancements in 3D vision, reconstruction, and shape understanding techniques with a focus on generative models to digitize performances and scenes. In addition to a discussion about how to process such large visual data, the challenges that come with scaling 10x over current capture platforms, and over 200x over state-of-the-art datasets will be presented. The talk will conclude with a sneak peek of upcoming productions in the world’s largest volumetric capture stage at Intel Studios. Want to watch more videos like this one? Subscribe here to the full DSSInsider video repository: insider.datascience.salon/

Be the first to comment