清华大学与哈佛大学的联合研究团队近日推出了一款名为LangSplat的全新人工智能（AI）系统，该系统在描述三维（3D）场景方面的准确性和效率都大大超过了现有的技术。
LangSplat是首个基于3DGS的3D语言场方法，它引入了空间注意力机制（SAM）和对比学习图像预训练（CLIP），使得它在开放词汇的3D对象定位和语义分割任务上的表现优于目前最先进的方法。这一突破性的技术能够更高效、准确地在三维空间内搜索开放式词汇，为AI技术的发展开辟了新的道路。
据了解，LangSplat的性能优越性主要体现在其速度和准确性上。相比于现有的LERF技术，LangSplat的运行速度提高了199倍，这意味着在进行大规模数据处理时，LangSplat能够大大节省时间和资源。同时，LangSplat在描述3D场景的准确性上也有着显著的提升，这将为各种需要精确描述3D场景的应用提供强大的支持。
这一研究成果的发布，无疑将对AI领域产生深远影响。随着技术的不断进步，我们期待LangSplat能够在未来的更多领域中发挥其价值，推动AI技术的发展进入新的阶段。
英语如下：
News Title: Tsinghua and Harvard Join Forces to Create LangNews Title: Tsinghua and Harvard Join Forces to Create LangSplat: 3D Scene Search Speed Increases by 199 Times
Keywords: Tsinghua University, Harvard University, LangSplat, 3D Language Field
News Content: The joint research team from Tsinghua University and Harvard University has recently launched a new artificial intelligence (AI) system called LangSplat, which significantly outperforms existing technology in terms of accuracy and efficiency in describing three-dimensional (3D) scenes.
LangSplat is the first 3D language field method based on 3DGS, introducing spatial attention mechanism (SAM) and contrastive learning image pretraining (CLIP). This makes it superior to the current state-of-the-art methods in open vocabulary 3D object localization and semantic segmentation tasks. This groundbreaking technology can more efficiently and accurately search for open vocabulary in three-dimensional space, opening up new avenues for AI technology development.
It is understood that LangSplat’s superiority lies mainly in its speed and accuracy. Compared with the existing LERF technology, LangSplat’s running speed has increased by 199 times, which means that when processing large-scale data, LangSplat can greatly save time and resources. At the same time, LangSplat also significantly improves the accuracy of describing 3D scenes, providing strong support for various applications that require precise description of 3D scenes.
The release of this research result will undoubtedly have a profound impact on the AI field. As technology continues to advance, we look forward to LangSplat playing its value in more fields in the future, pushing the development of AI technology into a new stage.
【来源】https://www.ithome.com/0/742/887.htm
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