Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing

Marissa Ramirez de Chanlatte, Phil Colella, Trevor Darrell, Alexandra Katherine Carlson, Peter H. N. de With, Huayu Deng, Shanyan Guan, James Hays, Tim Houben, Thomas Huisman, Nikita Jaipuria, Hans Johansen, Shuja Khalid, Akshay Krishnan, Chuming Li, Maxim Pisarenco, Amit Raj, Frank Rudzicz, Tim J. Schoonbeek, Sandhya Sridhar, Nathan Tseng, Fons van der Sommen, Chen Wang, Yunbo Wang, Tong Wu, Xiaokang Yang, Jiawei Yao, Derek Young, Xianling Zhang; Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2024, pp. 762-766

Abstract


High-fidelity 3D geometries of the natural and built world around us are an essential part of answering some of the most pressing scientific questions of our day. Through advances in deep learning, computer vision, and artificial intelligence more broadly, much progress has been made in reconstructing real geometries from images and/or sparse data, but these methods are just beginning to be applied to scientific problems. On January 7th, 2024 we bring together researchers from computer vision, applied mathematics, and several scientific disciplines, to discuss the state of the art in 3D geometry generation and how it can be applied to open problems in science. This paper summarizes a selection of the talks and papers that have been accepted.

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@InProceedings{de_Chanlatte_2024_WACV, author = {de Chanlatte, Marissa Ramirez and Colella, Phil and Darrell, Trevor and Carlson, Alexandra Katherine and de With, Peter H. N. and Deng, Huayu and Guan, Shanyan and Hays, James and Houben, Tim and Huisman, Thomas and Jaipuria, Nikita and Johansen, Hans and Khalid, Shuja and Krishnan, Akshay and Li, Chuming and Pisarenco, Maxim and Raj, Amit and Rudzicz, Frank and Schoonbeek, Tim J. and Sridhar, Sandhya and Tseng, Nathan and van der Sommen, Fons and Wang, Chen and Wang, Yunbo and Wu, Tong and Yang, Xiaokang and Yao, Jiawei and Young, Derek and Zhang, Xianling}, title = {Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2024}, pages = {762-766} }