1 citations · 1 across the 2 of their papers we have counts for
3 papers
Φeat: Physically Grounded Material Feature Representation
Giuseppe Vecchio, Adrien Kaiser, Claudia Cuttano +4
While foundation models have emerged as general-purpose visual backbones, their representations are primarily optimized for semantics and lack explicit modeling of physical factors…
AutoSew: A Geometric Approach to Stitching Prediction with Graph Neural Networks
Pablo RÃos-Navarro, Elena Garces, Jorge Lopez-Moreno
Automating garment assembly from sewing patterns remains a significant challenge due to the lack of standardized annotation protocols and the frequent absence of semantic cues. Exi…
Unlocking Thickness Modeling for Codimensional Contact Simulation
Gonzalo Gomez-Nogales, Zhen Chen, Rosalie Martin +2
In this work we analyze and address a fundamental restriction that blocks the reliable application of codimensional yarn-level and shell models with thickness, to simulate real-wor…