PhyDeformer: High-Quality Non-Rigid Garment Registration with Physics-Awareness
This addresses the problem of accurate 3D garment registration for applications in computer graphics and virtual try-on, though it appears incremental as it builds on existing deformation frameworks.
The paper tackles the problem of high-quality non-rigid garment mesh registration by proposing PhyDeformer, a two-phase method involving garment grading for coarse alignment and Jacobian-based optimization for fine-grained refinement, achieving effective results in quantitative and qualitative evaluations on synthetic and real garments.
We present PhyDeformer, a new deformation method for high-quality garment mesh registration. It operates in two phases: In the first phase, a garment grading is performed to achieve a coarse 3D alignment between the mesh template and the target mesh, accounting for proportional scaling and fit (e.g. length, size). Then, the graded mesh is refined to align with the fine-grained details of the 3D target through an optimization coupled with the Jacobian-based deformation framework. Both quantitative and qualitative evaluations on synthetic and real garments highlight the effectiveness of our method.