Generating a material property map of a computer model of a material based on a set of micro-scale images

System for generating a material property map of a computer model of a material for computer modeling applications, the system comprising:

• a data processor configured for executing computer instructions;
• and
• data storage for storing computer instructions, the computer instructions when executed by the data processor causing the system to:
• train a machine learning module with a set of micro-scale images of a subsection of a material sample captured under a plurality of different illumination conditions and with a set of one or more micro-scale parameters of the material, the training generating a mapping between a set of image features in the set of micro-scale images and a set of micro-level parameters of the material;
• receive as input one or more render-scale images of the material;
• process the one or more render-scale images of the material with the machine learning module to apply the one or more micro-level parameters to at least one of the render-scale images of the material;
• output the one or more micro-level parameters of the at least one render-scale image of the material for generating a property map of the material;
• wherein the micro-scale at which the micro-scale images are captured corresponds to a scale with a higher resolution than the render-scale at which the one or more render-scale images are captured.

A computer implemented method for displaying a simulation of one or more items made of a material, the method comprising:

• receiving a plurality of frames comprising a simulation of the one or more items made of the material, the plurality of frames rendered by transforming a model of the material based on a property map of the material into a volumetric representation of the items made of the material, the property map of the material generated by:
• training a machine learning module with a set of micro-scale images of a subsection of a material sample captured under a plurality of different illumination conditions and with a set of one or more micro-scale parameters of the material, the training generating a mapping between a set of image features in the set of micro-scale images and a set of micro-level parameters of the material;
• receiving as input one or more render-scale images of the material;
• processing the one or more render-scale images of the material with the machine learning module to apply the one or more micro-level parameters to at least one of the render-scale images of the material;
• outputting the one or more micro-level parameters of the at least one render-scale image of the material for generating the property map of the material;
• wherein the micro-scale at which the micro-scale images are captured corresponds to a scale with a higher resolution than the render-scale at which the one or more render-scale images are captured.