Introduction: Three-dimensional (3D) point clouds acquired by LiDAR are fundamental for applications such as autonomous navigation, mobile robotics, infrastructure inspection, and cultural-heritage ...

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...

ABSTRACT: The aim of this research is to develop a speech synthesis model tailored towards Nigerian languages by leveraging natural language processing tool such as FastSpeech 2 and meta-tts for ...

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1 State Key-Laboratory of Oil and Gas-Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, China 2 College of Geophysics, Chengdu University of Technology, Chengdu, China In ...

Learn how to use generative fill on moving videos in After Effects! This tutorial teaches step-by-step techniques to seamlessly enhance dynamic footage with AI-powered effects. #AfterEffects ...

Learn how to enhance your videos using generative fill and 3D tracking in After Effects! This tutorial guides you through editing non-static footage with seamless AI-powered effects. #AfterEffects ...

School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei 230009, China School of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou 730050, China ...

AT&T is using a generative AI system to help control network operations, a move that the carrier said is a step toward greater network autonomy. Raj Savoor, VP of network analytics and automation at ...

Abstract: Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based methods such ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this work, we introduce auxiliary discriminator sequence generative adversarial ...