3 papers
cs.CV2026
Organize Primitives into Semantic Parts: Reinforcement Reasoning for 3D Segmentation
Xiaoming Gong, Ruoyu Wu, Zhenhong Sun +5
Primitive-based 3D segmentation offers a compact and explicit alternative to dense surface prediction, naturally supporting structural abstraction and boundary localization. Howeve…
cs.GR2026
Hi-TOPS: Hierarchical Topology-aware Scoring Prior for 3D Part Decomposition
Ruoyu Wu, Zhenhong Sun, Xiaoming Gong +5
Accurate 3D part decomposition requires separating shapes into structurally meaningful components with precise boundaries while preserving articulation seams and thin attachments.…
cs.AI2026
OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation
Yuze Dai, Zhihan Zhang, Yan Zhao +6
Text-attributed graphs (TAGs) are an important graph data form that combine relational structure with rich node text. However, real-world TAGs are often imperfect, with quality iss…