Shunsuke Saito is a Research Scientist at Meta Reality Labs Research in Pittsburgh, where he leads the effort on next generation digital humans. He obtained his PhD degree at the University of Southern California. Prior to USC, he was a Visiting Researcher at University of Pennsylvania in 2014. He obtained his BE (2013), ME (2014) in Applied Physics at Waseda University. His research lies in the intersection of computer graphics, computer vision and machine learning, especially centered around digital human, 3D reconstruction, and performance capture. His work has been published in SIGGRAPH, SIGGRAPH Asia, NeurIPS, ECCV, ICCV and CVPR, three of which have been nominated for CVPR Best Paper Award (2019, 2021) and ECCV Best Paper Award (2024). His real-time volumetric teleportation work also won Best in Show award in SIGGRAPH 2020 Real-time Live!

Paul Debevec is the chief research officer at Eyeline Studios and adjunct research professor at the Viterbi School of Engineering at the University of Southern California. He obtained is PhD degree at the University of Michigan, which laid the foundation for an Acadamy Award winning VFX technique. At USC ICT Debevec has led the development of several Light Stage systems that capture and simulate how people and objects appear under real-world illumination, a technique that found countless applications in Hollywood movies. He received ACM SIGGRAPH's first Significant New Researcher Award in 2001 and in 2005 he received a Gilbreth Lectureship from the National Academy of Engineering. At Eyeline Studios Debevec continues to push the boundaries of VFX and relightable virtual avatars.

Shalini De Mello is a Director of Research, New Experiences and a Distinguished Research Scientist at NVIDIA, where she leads the AI-Mediated Reality and Interaction Research Group. Prior to this, she was a Distinguished Research Scientist in the Learning and Perception Research Group at NVIDIA from 2013 - 2023. Her research interests are in AI, computer vision, computer graphics and digital humans. Her research focuses on using AI to re-imagine interactions between humans, and between humans and machines. She has co-authored scores of peer-reviewed publications and patents, and serves on the program committees of all major AI conferences. Her inventions have been incorporated into several NVIDIA AI products, including DriveIX, Maxine and the TAO Toolkit. She received her Doctoral and Master’s degrees in Electrical and Computer Engineering from the University of Texas at Austin.

Thabo Beeler is a senior staff research scientist at Google, where he is heading the Syntec team within AR Perception. He is working on digital humans in the context of virtual and augmented reality, focusing on capture, reconstruction, appearance acquisition, generative modeling, and synthesis. Previously, Thabo Beeler was a research scientist at Disney Research Studios where he built up the Capture and Effects group, focusing on digital humans for film. In 2019, his work there was rewarded with an Oscar award for technical achievements.

Lourdes Agapito is a professor at University College London (UCL), where she leads a research group working on 3D reconstruction from video. Her research focuses on the especially challenging task of estimating 3D shape of non-rigid objects. She recieved an ERC Starting Grant for her research contributions in 2008. In addition to her academic career, Prof. Agapito is a co-founder and director of Synthesia Inc., a startup empowering storytellers with AI.

Stefanos Zafeiriou is a Professor of Machine Learning and Computer Vision with the Department of Computing, Imperial College London. From 2016 to 2020, he was a Distinguishing Research Fellow with the University of Oulu, Finland, under Finish Distinguishing Professor Program. Prof. Zafeiriou is an EPSRC Early Career Research Fellow. He was a recipient of the Prestigious Junior Research Fellowships from Imperial College London in 2011, the President’s Medal for Excellence in Research Supervision for 2016, the President’s Medal for Entrepreneurship in 2022, the Google Faculty Research Awards, and the Amazon Web Services (AWS) Machine Learning (ML) Research Award.