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Found 4 papers, 1 papers with code
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines
In this paper, we propose a novel Neural Sewing Machine (NSM), a learning-based framework for structure-preserving 3D garment modeling, which is capable of learning representations for garments with diverse shapes and topologies and is successfully applied to 3D garment reconstruction and controllable manipulation.
Least squares surface reconstruction on arbitrary domains
Almost universally in computer vision, when surface derivatives are required, they are computed using only first order accurate finite difference approximations.
Depth from a polarisation + RGB stereo pair
In this paper, we propose a hybrid depth imaging system in which a polarisation camera is augmented by a second image from a standard digital camera.
Linear Differential Constraints for Photo-polarimetric Height Estimation
From a numerical point of view, we use a least-squares formulation of the discrete version of the problem.
