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$R^2$-Mesh: Reinforcement Learning Powered Mesh Reconstruction via Geometry and Appearance Refinement

Autor: Wang, Haoyang, Liu, Liming, Jia, Quanlu, Wu, Jiangkai, Zhang, Haodan, Wang, Peiheng, Zhang, Xinggong

Mesh reconstruction based on Neural Radiance Fields (NeRF) is popular in a variety of applications such as computer graphics, virtual reality, and medical imaging due to its efficiency in handling complex geometric structures and facilitating real-ti

Externí odkaz: http://arxiv.org/abs/2408.10135

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Promptus: Can Prompts Streaming Replace Video Streaming with Stable Diffusion

Autor: Wu, Jiangkai, Liu, Liming, Tan, Yunpeng, Hao, Junlin, Zhang, Xinggong

With the exponential growth of video traffic, traditional video streaming systems are approaching their limits in compression efficiency and communication capacity. To further reduce bitrate while maintaining quality, we propose Promptus, a disruptiv

Externí odkaz: http://arxiv.org/abs/2405.20032

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Data-Driven Affinely Adjustable Robust Volt/VAr Control

Autor: Shi, Naihao, Cheng, Rui, Liu, Liming, Wang, Zhaoyu, Zhang, Qianzhi

This paper proposes a data-driven affinely adjustable robust Volt/VAr control (AARVVC) scheme, which modulates the smart inverter reactive power in an affine function of its active power, based on the voltage sensitivities with respect to real/reacti

Externí odkaz: http://arxiv.org/abs/2209.04598

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Akademický článek

A prediction model for coronal malalignment of the lower extremity in middle-aged and young people based on body surface big data

Autor: ZUO Xizhen, LIU Liming, LEI Kai

Publikováno v: 陆军军医大学学报, Vol 46, Iss 8, Pp 868-877 (2024)

Objective To construct a prediction model for coronal malalignment of lower limb in middle-aged and young people in China based on body surface big data in order to provide a faster and more accurate tool for predicting the malalignment in clinical p

Externí odkaz: https://doaj.org/article/4f55d7bd156f41af85c232f67548fed9

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