Gaussian Splatting is a cutting-edge 3D representation technique that models a scene as a set of learnable 3D Gaussian primitives. Each Gaussian defines a point in space with position, color, opacity, ...

Some of the most important tasks of visual and motor systems involve estimating the motion of objects and tracking them over time. Such systems evolved to meet the behavioral needs of the organism in ...

Reconstructing high-fidelity and animatable 3D human avatars from visual data is a core task for immersive applications such as virtual reality (VR) and digital content creation. While traditional ...

What would a Tesla be without controversy and split opinions? The Tesla Model Y’s midcycle refresh brought significant enough changes to earn it a spot in our 2026 SUV of the Year competition. The ...

What if the most complex AI models ever built, trillion-parameter giants capable of reshaping industries, could run seamlessly across any cloud platform? It sounds like science fiction, but Perplexity ...

Abstract: This article presents a new Gaussian mixture model-based variational Bayesian approach (VBSDD-ETT) for solving the problem of skew-dense distribution (SDD) of measurement points in the ...

This repository contains the official author's implementation associated with the paper "GUAVA: Generalizable Upper Body 3D Gaussian Avatar". With just a single image and a tracked pose, GUAVA can ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

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