BayesMM proposes a training-free dynamic Bayesian distribution learning framework that models text and geometric modalities as Gaussian distributions and automatically adjusts modality weights through ...
This paper proposes an adaptive Reconstruction-aware Pruning Strategy (RPS) and 3D DoG primitives, achieving 90% Gaussian point reduction while maintaining rendering quality. 3D Gaussian Splatting ...
A central goal of materials science is to understand the pathways by which materials transform. The dynamics of these processes involve heterogeneity, disorder, and irreversibility, and underlie a ...
We present pandora, a novel pan-genome graph structure and algorithms for identifying variants across the full bacterial pan-genome. As much bacterial adaptability hinges on the accessory genome, ...
3D morphable models are widely used to describe the variation of human body shapes. However, these models typically focus on the surface of the human body, since the acquisition of the volumetric ...
When an elastic material (e.g., fabric) is horizontally stretched (or compressed), the material is compressed (or extended) vertically – so-called the Poisson effect. In the different case of the ...
Diffusion curves example: Curves with texture samples (left) and rendering (right). We describe a new vector-based primitive for creating smooth-shaded images, called the diffusion curve. A diffusion ...
I’ve just started teaching an advanced undergraduate course on Fourier analysis — my first lecturing duty in my new job at Edinburgh. What I hadn’t realized until I started preparing was the ...
Copyright: © 2012 Elsevier Ltd. Published by Elsevier Ltd. Crowds are a feature of large cities, occurring not only at mass gatherings but also at routine events ...
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