MS student, Shandong University
1 paper at NeurIPS 2025
We propose CFPA for 3D part assembly that integrates semantic super-parts, dual-range feature propagation, and symmetry-aware supervision, achieving SOTA accuracy, consistency, and diversity on standard benchmarks.
