From Flow to One Step: Real-Time Multi-Modal Trajectory Policies via Implicit Maximum Likelihood Estimation-based Distribution Distillation
从流到一步:通过隐式最大似然估计基于的分布蒸馏实现实时多模轨迹策略
Ju Dong, Liding Zhang, Lei Zhang, Yu Fu, Kaixin Bai, Zoltan-Csaba Marton, Zhenshan Bing, Zhaopeng Chen, Alois Christian Knoll, Jianwei Zhang
机构
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TAMS (Technical Aspects of Multimodal Systems), Department of Informatics, University of Hamburg(汉堡大学信息学院TAMS(多模态系统技术方面))
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Technical University of Munich(慕尼黑技术大学)
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Agile Robots SE(敏捷机器人公司)
机构
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Tsinghua University(清华大学)
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University of California San Diego(加州大学圣地亚哥分校)
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West China Second University Hospital, Sichuan University(四川大学华西第二医院)
机构
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The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, China(多模态人工智能系统国家重点实验室,自动化研究所,中国科学院)
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Spatiotemporal AI, China(时空人工智能,中国)
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Hangzhou International Innovation Institute, Beihang University, China(杭州国际创新研究院,北航,中国)
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Georgia Institute of Technology, China(佐治亚理工学院,中国)
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Key Laboratory of Computing Power Network and Information Security, Ministry of Education(计算功率网络与信息安全重点实验室,教育部;山东省计算机科学中心,齐鲁工业大学(山东省科学院),中国)
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Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), China