2024年2月26日 · In this paper, we present a novel method that facilitates the creation of vivid 3D Gaussian avatars from monocular video inputs (GVA). Our innovation lies in addressing the intricate challenges of delivering high-fidelity human body reconstructions and aligning 3D Gaussians with human skin surfaces accurately.

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In this paper, we present a novel method that facilitates the creation of vivid 3D Gaussian avatars from monocular video inputs (GVA). Our innovation lies in addressing the intricate challenges of delivering high-fidelity human body reconstructions and aligning 3D Gaussians with human skin surfaces accurately.

2024年1月29日 · We use a new attention mechanism called GVA to create a caption that describes an image. This second-level attention mechanism gives importance scores to candidate feature vectors and normalizes them using the softmax function to get weights.

Hossen, M.B., Ye, Z., Abdussalam, A. et al. GVA: guided visual attention approach for automatic image caption generation. Multimedia Systems 30, 50 (2024). https://doi.org/10.1007/s00530-023-01249-w. This repository is based on self-critical.pytorch, and you …

To address this limitation, we propose a novel geometric variation adaptive change detector (GVA-CD), which adaptively adjusts the shape and size of neighboring areas based on the geometrical structure of ground objects. More specifically, we design a new geometric variation adaptive module (GVAM) as a component of GVA-CD.

In this paper, we show how to utilize the GVA to estimate shape and illumination from a single shading image, without the use of other priors. We propose a novel linearized Spherical Harmonics (SH) shading model which enables us to obtain a computationally ef …

2022年1月1日 · GVA: guided visual attention approach for automatic image caption generation Abstract Automated image caption generation with attention mechanisms focuses on visual features including objects, attributes, actions, and scenes of the image to understand and provide more detailed captions, which attains great attention in the ...

With this approach, you can image a full box of 96 pipette tips in less than 5 minutes. Once you've collected your images, you can process them using the MATLAB code. The sections below detail how to assemble your imaging station, how to image samples, and a tutorial for using the MATLAB software to analyze your data.

Gross Value Added (GVA) 是一个估计国民生产总值Gross Domestic Product (GDP)的重要方法, 我们都知道GDP是一国经济状况的指针，GDP和GVA的区别可以用一条公式来表达：