'OmniRe' technology has been jointly developed by several top universities and research institutions, aiming to comprehensively reconstruct urban scenes, including vehicles, pedestrians, and bicycles. Unlike traditional methods that rely on local perspectives, 'OmniRe' integrates multi-angled information to achieve a more accurate capture of urban environments, significantly enhancing reconstruction quality. This groundbreaking advancement holds vital importance for fields such as urban planning, autonomous driving, and augmented reality. 'OmniRe' not only generates high-precision 3D models but also possesses the capability to efficiently process large amounts of data, expediting...

In the field of artificial intelligence, large language models (LLMs) such as GPT-3 and Llama-2 have made significant strides, capable of accurately understanding and generating human language. However, the vast number of parameters in these models poses challenges in terms of the significant computational resources required for both training and deployment, particularly in resource-constrained environments.Paper Access: https://arxiv.org/html/2406.10260v1Traditionally, to achieve a balance betw