ACE-Brain-0: Spatial Intelligence as a Shared Scaffold for Universal Embodiments
ACE-Brain-0:空间智能作为通用具身化体系的共享框架
Ziyang Gong, Zehang Luo, Anke Tang, Zhe Liu, Shi Fu, Zhi Hou, Ganlin Yang, Weiyun Wang, Xiaofeng Wang, Jianbo Liu, Gen Luo, Haolan Kang, Shuang Luo, Yue Zhou, Yong Luo, Li Shen, Xiaosong Jia, Yao Mu, Xue Yang, Chunxiao Liu, Junchi Yan, Hengshuang Zhao, Dacheng Tao, Xiaogang Wang
机构
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Shanghai Jiao Tong University(上海交通大学)
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Nanyang Technological University(南洋理工大学)
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The Chinese University of Hong Kong(香港中文大学)
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The University of Hong Kong(香港大学)
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University of Science(科学技术大学)
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Fudan University(复旦大学)
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Xiamen University(厦门大学)
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East China Normal University(华东师范大学)
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Wuhan University(武汉大学)
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Sun Yat-sen University(中山大学)
AI总结
ACE-Brain-0 通过空间智能作为共享框架,统一了自动驾驶、机器人和 UAVs 的具身化任务,采用 SSR 范式和 GRPO 方法实现跨领域泛化和领域精通的平衡。
The Dresden Dataset for 4D Reconstruction of Non-Rigid Abdominal Surgical Scenes
德里森数据集用于非刚性腹部手术场景的4D重建
Reuben Docea, Rayan Younis, Yonghao Long, Maxime Fleury, Jinjing Xu, Chenyang Li, André Schulze, Ann Wierick, Johannes Bender, Micha Pfeiffer, Qi Dou, Martin Wagner, Stefanie Speidel
机构
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Department of Translational Surgical Oncology, National Center for Tumor Diseases (NCT), NCT/UCC Dresden, a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany(转化外科肿瘤中心部门,肿瘤疾病国家中心(NCT),NCT/UCC德累斯顿,由DKFZ、医学院和卡尔·戈斯瓦尔德·卡尔医院、德累斯顿技术大学以及德累斯顿-罗斯恩多夫赫尔姆霍兹中心(HZDR)组成的合作机构,德累斯顿,德国)
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Department of Translational Surgical Oncology, NCT/UCC Dresden, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology(转化外科肿瘤中心部门,NCT/UCC德累斯顿,医学院和卡尔·戈斯瓦尔德·卡尔医院,德累斯顿技术大学)
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Department for Visceral, Thoracic and Vascular Surgery, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden(visceral、胸腔和血管外科部门,医学院和卡尔·戈斯瓦尔德·卡尔医院,德累斯顿技术大学)
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Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technical University Dresden(人机交互触觉互联网中心(CeTI),德累斯顿技术大学)
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Department of Computer Science and Engineering, The Chinese University of Hong Kong(计算机科学与工程部门,香港中文大学)
Value Gradient Guidance for Flow Matching Alignment
价值梯度指导下的流匹配对齐
Zhen Liu, Tim Z. Xiao, Carles Domingo-Enrich, Weiyang Liu, Dinghuai Zhang
机构
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The Chinese University of Hong Kong (Shenzhen)(香港中文大学(深圳))
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University of Tübingen(图宾根大学)
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Microsoft Research(微软研究院)
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The Chinese University of Hong Kong(香港中文大学)
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Mila – Quebec AI Institute(魁北克AI研究所)
AI总结
VGG-Flow通过价值梯度指导实现流匹配模型的高效微调与先验保留对齐。
CommentsAccepted at NeurIPS 2025; 26 pages, 20 figures
机构
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Zhiyuan College, Shanghai Jiao Tong University, Shanghai 200240, China(上海交通大学紫阳学院)
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School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China(香港中文大学(深圳)数据科学学院)
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McCombs School of Business, The University of Texas at Austin, Austin, TX, USA(德克萨斯大学奥斯汀分校麦克拉姆商学院)
机构
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Hong Kong University of Science and Technology (HKUST)(香港科技大学)
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Tongyi Fun Team, Alibaba Group(通义Fun团队,阿里巴巴集团)
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The Chinese University of Hong Kong (CUHK)(香港中文大学)
机构
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Tsinghua University(清华大学)
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Infinigence AI
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The Chinese University of Hong Kong(香港中文大学)
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Shanghai Jiao Tong University(上海交通大学)
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SLAI
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Shanghai AI Laboratory(上海人工智能实验室)