most citedGarmageNet: A Multimodal Generative Framework for Sewing Pattern Design and Generic Garment Modeling

8 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

WorldContact: A Contact-Centric World Model for Scalable Robot Learning

Caoliwen Wang, Mengdi Wang, Heng Zhang +7

Adapting robots to new objects and tasks requires interaction experience that can be costly to obtain. We present WorldContact, a contact-centric world model for deformable-object…

cs.GR2026

Curly Hair Simulation using Curly Finite Elements

Xinming Pei, Zhendong Wang, Lei Lan +3

Realistic simulation of curly hair is challenging due to the tight coupling between macroscopic strand deformation and high-frequency geometric details such as waves and helices. I…

cs.CV2026

Learning-based Seam Correspondence Reconstruction in Sewing Patterns

Zhendong Wang, Jintong Wang, Chen Liu +3

Digital sewing patterns typically consist of disjoint 2D panels without explicit stitch annotations, making downstream 3D modeling reliant on labor-intensive expert specification.…

cs.RO2026

Generalizable Friction Coefficient Estimation via Material Embedding and Proxy Interaction Modeling

Zhendong Wang, Huamin Wang

Accurately estimating friction coefficients between arbitrary material pairs is critical for robotics, digital fabrication, and physics-based simulation, but exhaustive pairwise te…

cs.GR2025★ 8 cited

GarmageNet: A Multimodal Generative Framework for Sewing Pattern Design and Generic Garment Modeling

Siran Li, Ruiyang Liu, Chen Liu +5

Realistic digital garment modeling remains a labor-intensive task due to the intricate process of translating 2D sewing patterns into high-fidelity, simulation-ready 3D garments. W…