AI RESEARCH

PhysDrape: Learning Explicit Forces and Collision Constraints for Physically Realistic Garment Draping

arXiv CS.CV

ArXi:2602.08020v2 Announce Type: replace Deep learning-based garment draping has emerged as a promising alternative to traditional Physics-Based Simulation (PBS), yet robust collision handling remains a critical bottleneck. Most existing methods enforce physical validity through soft penalties, creating an intrinsic trade-off between geometric feasibility and physical plausibility: penalizing collisions often distorts mesh structure, while preserving shape leads to interpenetration.