Zobrazeno 1 - 10
of 156
pro vyhledávání: '"WANG ShenLong"'
Publikováno v:
Jixie qiangdu, Pp 341-349 (2023)
To meet the requirements of equipment performance optimization in the intelligent environment of mining machinery, a solution model of excavator resistance with wide applicability is established, which made the solution model of excavation resistance
Externí odkaz:
https://doaj.org/article/31aff726754443ef89b295314aebb482
Publikováno v:
Jixie qiangdu, Vol 44, Pp 772-780 (2022)
The uncertainty analysis of test results of nonlinear system shows the dispersion of test results. In this paper, an evaluation method of test uncertainty of nonlinear system based on polynomial chaos expansion is suggested. The evaluation method is
Externí odkaz:
https://doaj.org/article/d49db3681fa14a0b98fcaf0d1404c575
This paper presents the Task-Parameter Nexus (TPN), a learning-based approach for online determination of the (near-)optimal control parameters of model-based controllers (MBCs) for tracking tasks. In TPN, a deep neural network is introduced to predi
Externí odkaz:
http://arxiv.org/abs/2412.12448
Autor:
Zhai, Albert J., Wang, Xinlei, Li, Kaiyuan, Jiang, Zhao, Zhou, Junxiong, Wang, Sheng, Jin, Zhenong, Guan, Kaiyu, Wang, Shenlong
The ability to automatically build 3D digital twins of plants from images has countless applications in agriculture, environmental science, robotics, and other fields. However, current 3D reconstruction methods fail to recover complete shapes of plan
Externí odkaz:
http://arxiv.org/abs/2411.09693
Modern visual effects (VFX) software has made it possible for skilled artists to create imagery of virtually anything. However, the creation process remains laborious, complex, and largely inaccessible to everyday users. In this work, we present Auto
Externí odkaz:
http://arxiv.org/abs/2411.02394
We present PhysGen, a novel image-to-video generation method that converts a single image and an input condition (e.g., force and torque applied to an object in the image) to produce a realistic, physically plausible, and temporally consistent video.
Externí odkaz:
http://arxiv.org/abs/2409.18964
The goal of this paper is to encode a 3D scene into an extremely compact representation from 2D images and to enable its transmittance, decoding and rendering in real-time across various platforms. Despite the progress in NeRFs and Gaussian Splats, t
Externí odkaz:
http://arxiv.org/abs/2409.15689
Extended Reality (XR) enables immersive experiences through untethered headsets but suffers from stringent battery and resource constraints. Energy-efficient design is crucial to ensure both longevity and high performance in XR devices. However, late
Externí odkaz:
http://arxiv.org/abs/2409.04018
Autor:
Sharma, Ansh, Xiao, Albert, Rathi, Praneet, Kundu, Rohit, Zhai, Albert, Shen, Yuan, Wang, Shenlong
In this work, we present a novel method for extensive multi-scale generative terrain modeling. At the core of our model is a cascade of superresolution diffusion models that can be combined to produce consistent images across multiple resolutions. Pa
Externí odkaz:
http://arxiv.org/abs/2409.01491
Autor:
Shen, Yuan, Ceylan, Duygu, Guerrero, Paul, Xu, Zexiang, Mitra, Niloy J., Wang, Shenlong, Frühstück, Anna
We present a simple, modular, and generic method that upsamples coarse 3D models by adding geometric and appearance details. While generative 3D models now exist, they do not yet match the quality of their counterparts in image and video domains. We
Externí odkaz:
http://arxiv.org/abs/2406.00609