Prashanth Chandran
I am a Research Scientist (Machine Learning) at Google AR/VR. My current research interests span the areas of performance capture, animation, neural rendering, generative models, and deep learning, but I generally enjoy working on any creative application at the intersection of computer vision, graphics, and machine learning. Please take a look at some of my publications to know more about my work :)
Previously I was an Associate Research Scientist at Disney Research|Studios and a member of the Facial VFX group.
I completed my PhD from the Computer Graphics Lab at ETH Zurich and Disney Research|Studios, where I was advised by Prof. Markus Gross, and co-supervised by Dr. Derek Bradley. Before my PhD, I completed my Masters in the Department of Electrical Engineering and Information Technology, also at ETH Zurich, where my focus was on machine learning and computer vision. I received my bachelor’s degree in Electronics and Communications Engineering in 2013 from the Madras Institute of Technology and later worked for 3 years at Caterpillar Inc. as an embedded electronics engineer.
Recent Publications (view more)
 Spline-based Transformers ECCV 2024 (Oral) Project Page |
 Learning a Generalized Physical Face Model From Data Siggraph 2024 Project Page |
 Infinite 3D Landmarks: Improving Continuous 2D Facial Landmark Detection Computer Graphics Forum 2024 Project Page |
 Anatomically Constrained Implicit Face Models CVPR 2024 Project Page |
 Artist-Friendly Relightable and Animatable Neural Heads CVPR 2024 Project Page |
 Fast Dynamic Facial Wrinkles Eurographics 2024 Project Page |
 Stylize My Wrinkles: Bridging the Gap from Simulation to Reality Eurographics 2024 Project Page |
 An Implicit Physical Face Model Driven by Expression and Style Siggraph Asia 2023 Project Page |
 A Perceptual Shape Loss for Monocular 3D Face Reconstruction Pacific Graphics 2023 Project Page |
 ReNeRF: Relightable Neural Radiance Fields with Nearfield Lighting CVPR 2023 Project Page |
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