ECCV 2024 最佳论文候选!PointLLM:使大语言模型理解点云 转载自:数字炼丹师 PointLLM是一种旨在实现大模型在3D对象上应用的多模态大语言模型,由香港大学的研究团队提出。该模型的核心目标是让大型语言模型(LLM)学会理解点云信息,从而提供超越2D视...
- ECCV 2024 PointLLM: Empowering Large Language Models to Understand Point Clouds 作者列表: Runsen Xu, Xiaolong Wang, Tai Wang, Yilun Chen, Jiangmiao Pang, Dahua Lin 作者单位: 香港中文大学, 上海AI Lab, 浙江大学 论文链接: https://arxiv.org/pdf/2308.16911 代码链接: https://github.com/Open...
ECCV 2024 Oral满分论文|PointLLM:大语言模型直接理解点云(上篇)直播大纲1、大语言模型理解点云的任务背景2、大规模文本-点云数据集的构建3、模型训练与面向点云理解的新基准测试和评价指标4、模型性能分析与经验性观察, 视频播放量 5139、弹幕量 3、点赞数 111、投硬币枚
[2024-07-01] PointLLM has been accepted by ECCV 2024 with all "strong-accept" recommendation. 🎉 We are looking for self-motivated students to conduct research regarding PointLLM. Please send an email torunsxu@gmail.comwith your CV if you are interested!
[ECCV 2024 Best Paper Candidate] PointLLM: Empowering Large Language Models to Understand Point Clouds chatbot point-cloud llama representation-learning 3d multimodal vision-and-language gpt-4 foundation-models large-language-models objaverse pointllm Updated Oct 29, 2024 Python Improve this page ...