Computer Vision News Computer Vision News 24 Doctor soon-to-be Marilyn! Capturing the human anatomy is key in many fields, in medicine it helps diagnose a patient and conduct simulation, in graphics, it helps generate a more visually plausible appearance for digital humans and in computer vision it can yield priors on how the human body can move. But capturing someone’s anatomy is a difficult task, it often relies on expensive medical imaging, and the intervention of experts to annotate the captured data. Marilyn’s thesis aims to directly infer people's anatomy from their external body shape, instead of using expensive capturing devices. Especially, she focuses on modeling the bones and the soft tissues. In the first work of her thesis, she addressed the challenge of, given a body shape, generating the corresponding 3D skeleton. This was done by collecting thousands of fullbody medical scans called DXA and lifting these data to 3D to create a paired dataset of 3D body shape along the corresponding 3D skeleton for each subject. With such data, a linear regressor can be trained to learn the correlation between the body shape and the skeleton shape, enabling the generation of a custom skeleton given an unseen subject. Marilyn Keller is a soon-graduating PhD Student in the Perceiving Systems department at the Max Planck Institute for Intelligent Systems. She is supervised by Sergi Pujades and Michael J. Black and her research focuses on inferring people's anatomy solely from their external body shape. Marilyn received an Honorable Mention for Best Paper at SIGGRAPH Asia 2023 and an Honorable Mention at the 2024 Outstanding Female Doctoral Student Prize from @MPI_IS for her PhD work. Marilyn is looking for post PhD opportunities and she’s a great catch: both academia and industry can still get her, so talk to her now!
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