GaussianGrasper [138] 通过高效的特征蒸馏重建3D高斯特征场,以支持语言引导的操作任务,并使用渲染的法线过滤不可行的抓取姿态。 对于多阶段操作,任务通过一系列动作完成,每个阶段中物体的移动导致环境的动态变化。ManiGaussian [140] 提出了动态3DGS框架,以建模场景级时空动态,并构建高斯世界模型来参数化动态3DGS模型...
Animal behavior usually has a hierarchical structure and dynamics. Therefore, to understand how the neural system coordinates with behaviors, neuroscientists need a quantitative description of the hierarchical dynamics of different behaviors. However, th
A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets Bernhard Kerbl, Andréas Meuleman, Georgios Kopanas, Michael Wimmer, Alexandre Lanvin, George Drettakis arXiv preprint, 17 Jun 2024 [arXiv] [Project]
The confocal volume was approximated as a 3D Gaussian yielding the following analytical equation for the auto-correlation function: $$G\left(\tau \right)=\frac{\gamma }{N}{\left(1+\frac{\tau }{{\tau }_{D}}\right)}^{-1}{\left(1+\frac{\tau }{{\tau }_{D}}\frac{1}{{\rho...
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Since mean field approaches are devoid of a requirement for domain discretization they constitute highly efficient candidates for successive homogenization over several separated scales for microstructures with complex hierarchical organization. Thus, among other studies, they have been successfully applied to ...
4.3. Hierarchical priority classification XGBoost The proposed HPC-XGB is described in Fig. 2 and all the calculation steps are described in Algorithm 1. The Age is one of the parameters that most influence the risk of the disease and thus the classification of priority classes. However, the ...
Ellipsoid kernel, off-plane: Gaussian in-plane: linear 2.6 sec per image 512 × 480 128 × 128 × 128 HP 9000/700 workstation Ohbuchi et al. [34] (1992) 3D kernel 0.033 sec per image 480 × 413 256 × 256 × 256 1.86 GHz CPU 600 MHz GPU Dai et al. [49] (...
Molecular engineering seeks to create functional entities for modular use in the bottom-up design of nanoassemblies that can perform complex tasks. Such systems require fuel-consuming nanomotors that can actively drive downstream passive followers. Most
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu. ECCV 2022. [PDF] [Project] CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions. Rameen Abdal, Pei...