Kernekoncepter
SPAFormer addresses the combinatorial explosion challenge in 3D Part Assembly by leveraging weak constraints from assembly sequences.
Resumé
SPAFormer is a novel transformer-based model designed to overcome the combinatorial explosion challenge in the 3D Part Assembly (3D-PA) task. The task involves accurate prediction of each part's pose and shape in sequential steps, with increasing parts leading to exponential assembly combinations. SPAFormer utilizes weak constraints from assembly sequences to reduce solution space complexity. By exploring both parallel and autoregressive generation, it enhances assembly through knowledge enhancement strategies that capture inherent assembly patterns and relationships among sequentially ordered parts. A more challenging benchmark named PartNet-Assembly covering 21 varied categories validates SPAFormer's effectiveness. Extensive experiments demonstrate its superior generalization capabilities, especially in multi-tasking scenarios and long-horizon assembly.
Statistik
SPAFormerは、弱い制約を利用して組み立てシーケンスから解決空間の複雑さを低減します。
SPAFormerは、並列および自己回帰生成を探索し、知識向上戦略を通じて組み立てを強化します。
SPAFormerはPartNet-Assemblyというより厳しいベンチマークで効果を検証します。
多くの実験がSPAFormerの優れた汎化能力を示しました。