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Akademický článek

Research progress of optical monitoring technologies for membrane fouling

Autor: REN Zhijun, BAI Ying, WANG Qiuwen, HAN Jinlong, LIU Xiaoyang

Publikováno v: Gongye shui chuli, Vol 44, Iss 4, Pp 10-18 (2024)

Optical monitoring technologies can be used to monitor membrane fouling in real-time and online with the in-situ, fast and nondestructive advantages, which are of great significance for the in-depth understanding of membrane fouling and the optimizat

Externí odkaz: https://doaj.org/article/a64566890feb44b4bf27990224e8ea01

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A New People-Object Interaction Dataset and NVS Benchmarks

Autor: Guo, Shuai, Zhong, Houqiang, Wang, Qiuwen, Chen, Ziyu, Gao, Yijie, Yuan, Jiajing, Zhang, Chenyu, Xie, Rong, Song, Li

Recently, NVS in human-object interaction scenes has received increasing attention. Existing human-object interaction datasets mainly consist of static data with limited views, offering only RGB images or videos, mostly containing interactions betwee

Externí odkaz: http://arxiv.org/abs/2409.12980

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Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views

Autor: Guo, Shuai, Wang, Qiuwen, Gao, Yijie, Xie, Rong, Song, Li

Novel-view synthesis with sparse input views is important for real-world applications like AR/VR and autonomous driving. Recent methods have integrated depth information into NeRFs for sparse input synthesis, leveraging depth prior for geometric and

Externí odkaz: http://arxiv.org/abs/2403.02063

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