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pro vyhledávání: '"Zhang, Chubin"'
In this work, we introduce the Geometry-Aware Large Reconstruction Model (GeoLRM), an approach which can predict high-quality assets with 512k Gaussians and 21 input images in only 11 GB GPU memory. Previous works neglect the inherent sparsity of 3D
Externí odkaz:
http://arxiv.org/abs/2406.15333
Autor:
Zhang, Chubin, Yan, Juncheng, Wei, Yi, Li, Jiaxin, Liu, Li, Tang, Yansong, Duan, Yueqi, Lu, Jiwen
Occupancy prediction reconstructs 3D structures of surrounding environments. It provides detailed information for autonomous driving planning and navigation. However, most existing methods heavily rely on the LiDAR point clouds to generate occupancy
Externí odkaz:
http://arxiv.org/abs/2312.09243
In this paper, we aim to learn a semantic radiance field from multiple scenes that is accurate, efficient and generalizable. While most existing NeRFs target at the tasks of neural scene rendering, image synthesis and multi-view reconstruction, there
Externí odkaz:
http://arxiv.org/abs/2303.13014
Autor:
Yang, Qingluan, Zhang, Chubin, Ruan, Qiaoling, Zhang, Wei, Zhang, Haocheng, Li, Yang, Shao, Lingyun, Zhang, Wenhong
Publikováno v:
In Clinica Chimica Acta October 2020 509:60-66
Autor:
Ren Yingjie, Shang Zhongyi, Yang Chang, Wu Lisa, Liu Haifeng, Chen Yuhua, Nie Ling, Zhang Chubin
Publikováno v:
2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT).
Akademický článek
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Akademický článek
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Autor:
Pu, Baoming, Lu, Jianke, Wu, Houxin, Zhang, Yanchang, Qi, Minyou, Wang, Rouhuai, Zhang, Chubin, Dang, Songshi, Ding, Xiaxi, Wang, Zikun, Guo, Youehoni, Wang, Zhenyu, Wu, Xuemou, Yang, Mingzhu, Chen, Xiru, Ren, Delin
Publikováno v:
Acta Mathematica Scientia; March 1984, Vol. 4 Issue: 1 p119-128, 10p
Autor:
Zhang C; 1Department of Analytical, Environmental & Forensic Sciences, Institute of Pharmaceutical Sciences, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom; email: stephen.sturzenbaum@kcl.ac.uk., Barron LP; 1Department of Analytical, Environmental & Forensic Sciences, Institute of Pharmaceutical Sciences, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom; email: stephen.sturzenbaum@kcl.ac.uk.; 2MRC Centre for Environment and Health, Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom., Stürzenbaum SR; 1Department of Analytical, Environmental & Forensic Sciences, Institute of Pharmaceutical Sciences, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom; email: stephen.sturzenbaum@kcl.ac.uk.
Publikováno v:
Annual review of pharmacology and toxicology [Annu Rev Pharmacol Toxicol] 2024 Sep 03. Date of Electronic Publication: 2024 Sep 03.