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20192026
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cs.CV2026

Patch-based Representation and Learning for Efficient Deformation Modeling

Ruochen Chen, Thuy Tran, Shaifali Parashar

In this paper, we present a patch-based representation of surfaces, PolyFit, which is obtained by fitting jet functions locally on surface patches. Such a representation can be lea…

cs.CV2025

FNOPT: Resolution-Agnostic, Self-Supervised Cloth Simulation using Meta-Optimization with Fourier Neural Operators

Ruochen Chen, Thuy Tran, Shaifali Parashar

We present FNOpt, a self-supervised cloth simulation framework that formulates time integration as an optimization problem and trains a resolution-agnostic neural optimizer paramet…

cs.CV2025

Non-Rigid Structure-from-Motion via Differential Geometry with Recoverable Conformal Scale

Yongbo Chen, Yanhao Zhang, Shaifali Parashar +2

Non-rigid structure-from-motion (NRSfM), a promising technique for addressing the mapping challenges in monocular visual deformable simultaneous localization and mapping (SLAM), ha…

cs.CV2025

Image-Guided Shape-from-Template Using Mesh Inextensibility Constraints

Thuy Tran, Ruochen Chen, Shaifali Parashar

Shape-from-Template (SfT) refers to the class of methods that reconstruct the 3D shape of a deforming object from images/videos using a 3D template. Traditional SfT methods require…

cs.CV2023

GAPS: Geometry-Aware, Physics-Based, Self-Supervised Neural Garment Draping

Ruochen Chen, Liming Chen, Shaifali Parashar

Recent neural, physics-based modeling of garment deformations allows faster and visually aesthetic results as opposed to the existing methods. Material-specific parameters are used…

cs.CV2021

Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases

Jan Bednarik, Vladimir G. Kim, Siddhartha Chaudhuri +4

We propose a method for the unsupervised reconstruction of a temporally-coherent sequence of surfaces from a sequence of time-evolving point clouds, yielding dense, semantically me…