4 papers
Hierarchical Flow Matching for 3D Point Cloud Generation
Linhao Wang, Qichang Zhang, Ye Su +1
Generating high-quality 3D point clouds requires capturing both global shape topology and local geometric details. Existing flow-based methods rely on continuous normalizing flows…
Thinking in Structures: Evaluating Spatial Intelligence in Constraint-Governed Spaces
Chen Yang, Guanxin Lin, Youquan He +10
Spatial intelligence is crucial for vision--language models (VLMs), yet many scene-centric benchmarks evaluate unconstrained environments where a single image may admit multiple pl…
Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
Simin Li, Zihao Mao, Zheng Yuwei +12
Partial agent failure becomes inevitable when systems scale up, making it crucial to identify the subset of agents whose failure causes worst-case system performance degradations.…
EAGLE: Contextual Point Cloud Generation via Adaptive Continuous Normalizing Flow with Self-Attention
Linhao Wang, Qichang Zhang, Yifan Yang +2
As 3D point clouds become the prevailing shape representation in computer vision, generating high-quality point clouds remains a challenging problem. Flow-based models have shown s…