Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Fedele, Elisabetta"'
Autor:
Engelmann, Francis, Takmaz, Ayca, Schult, Jonas, Fedele, Elisabetta, Wald, Johanna, Peng, Songyou, Wang, Xi, Litany, Or, Tang, Siyu, Tombari, Federico, Pollefeys, Marc, Guibas, Leonidas, Tian, Hongbo, Wang, Chunjie, Yan, Xiaosheng, Wang, Bingwen, Zhang, Xuanyang, Liu, Xiao, Nguyen, Phuc, Nguyen, Khoi, Tran, Anh, Pham, Cuong, Huang, Zhening, Wu, Xiaoyang, Chen, Xi, Zhao, Hengshuang, Zhu, Lei, Lasenby, Joan
This report provides an overview of the challenge hosted at the OpenSUN3D Workshop on Open-Vocabulary 3D Scene Understanding held in conjunction with ICCV 2023. The goal of this workshop series is to provide a platform for exploration and discussion
Externí odkaz:
http://arxiv.org/abs/2402.15321
In an era where visual content generation is increasingly driven by machine learning, the integration of human feedback into generative models presents significant opportunities for enhancing user experience and output quality. This study explores st
Externí odkaz:
http://arxiv.org/abs/2307.10159
Autor:
Takmaz, Ayça, Fedele, Elisabetta, Sumner, Robert W., Pollefeys, Marc, Tombari, Federico, Engelmann, Francis
Publikováno v:
NeurIPS 2023
We introduce the task of open-vocabulary 3D instance segmentation. Current approaches for 3D instance segmentation can typically only recognize object categories from a pre-defined closed set of classes that are annotated in the training datasets. Th
Externí odkaz:
http://arxiv.org/abs/2306.13631