Author

Lin Chen

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Preprint Aug 2026

BendTwin: Robust Dense-to-Sparse Physical Reconstruction with Bending-Aware Differentiable Spring-Mass Models

BendTwin is presented, a bending-aware differentiable spring--mass framework for video-based reconstruction and future prediction of deformable objects and provides an effective approach for constructing mechanically faithful digital twins from sparse-view RGB-D videos.

Yi-Xiong Jing, Qi Wang, Lin Chen et al. · 0 citations

Open access 2026

A Physics-Informed Dual-Stem Neural Network With Data Generation Engine for Label-Scarce and Sparse-Data Inverse Problems

Results demonstrate effective label-scarce estimation in this case, while extension to other inverse problems requires an affordable differentiable forward model, sufficiently accurate coarse localization, and structured mismatch that can be learned from scarce measurements.

Yuan Zhang, Jiao Zhao, Lin Chen et al. · IEEE Access · 0 citations