2 DAILY WACV Sunday The inaugural Workshop on 3D Geometry Generation for Scientific Computing brings together diverse minds from AI and scientific communities to explore the state of the art in 3D geometry generation and how it can be applied to open problems in science. Originally from a computational physics background, Marissa, the driving force behind the event, ended up in computer vision after recognizing a significant common need for accurate 3D geometries of the world. “I realized that my community in physics was about 20 years behind the state of the art in computer vision,” she recalls. “I turned myself into a computer vision researcher to bring the latest technology there, but in that journey, I found that researchers were doing essentially the same thing throughout different pockets of science. Whether it’s a tree for a forest, a glacier, the bottom of the ocean, or a black hole, we all need 3D geometry to do our interesting science.” The motivation to organize a workshop stems from a lack of a central platform for researchers pursuing 3D reconstruction across domains. A reliance on word of mouth to connect like-minded individuals leads to missed opportunities, so this event offers a solution, establishing a space where people from different fields can meet, exchange ideas, and stay abreast of the latest advancements in computer vision. Workshop Marissa Ramirez de Chanlatte is a PhD candidate at UC Berkeley, working with Trevor Darrell in the Berkeley AI Research Lab and Phil Colella at the Lawrence Berkeley National Laboratory. As the lead organizer of this afternoon’s interdisciplinary workshop, she gives us an insight into what the event has in store.
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