Seddi, Inc.

Disney Enterprises, Inc.

Miguel A Otaduy

Wojciech Matusik

Markus H Gross

Hanspeter Pfister

Bernd Bickel

Igor Santesteban

Dan Casas

Carlos Aliaga

Carlos Castillo

Modeling cross-sections of yarn may include receiving yarn simulation input comprising a descriptive model of a general curvature followed by the yarn, providing a plurality of fibers distributed radially from the center of a ply, setting a base position based on parameters, applying a strain model to simulate the effect of stretch forces applied to the yarn, and outputting a yarn model indicating position and directionality of fibers in the yarn. The technology also relates to real-time modeling of a garment comprising a fabric. For instance, real-time modeling of a garment may include providing an input associated with one or more parameters of the fabric, receiving frames of a computer simulated garment, the computer simulated garment including a simulation of the fabric, the fabric simulation including yarns simulated based on a yarn model.

Procedural model of fiber and yarn deformation

A learning-based clothing animation method and system for highly efficient virtual try-on simulations is provided. Given a garment, the system preprocess a rich database of physically-based dressed character simulations, for multiple body shapes and animations. Then, using a database, the system trains a learning-based model of cloth drape and wrinkles, as a function of body shape and dynamics. A model according to embodiments separates global garment fit, due to body shape, from local garment wrinkles, due to both pose dynamics and body shape. A recurrent neural network is provided to regress garment wrinkles, and the system achieves highly plausible nonlinear effects, in contrast to the blending artifacts suffered by previous methods.

Learning-based animation of clothing for virtual try-on

In an object generation system, consumable base materials are characterized in a characterization process wherein an object generation system can use a plurality of so-characterized base materials. User input representing a desired object and set of characteristics for that desired object are processed, using a computer or computing device, to derive a mapping of locations for placement of portions of the plurality of base materials such that when the mapping is provided to an object generator, the generated object approximates the representing a desired object and set of characteristics. The characterization of a base material might include elasticity of the base material, the user input might be a desired shape and elasticity, the object generator might be a 3D multi-material printer and the generated object might at least approximate the desired shape and elasticity as a result of being constructed from the plurality of base materials used by the printer.

Fabrication of materials with desired characteristics from base materials having determined characteristics

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Madrid, Spain

Miguel A Otaduy