Abstract: Systems and methods are provided for machine learning-based rendering of a clothed human with a realistic 3D appearance by virtually draping one or more garments or items of clothing on a 3D human body model. The machine learning model may be trained to drape a garment on a 3D body mesh using training data that includes a variety 3D body meshes reflecting a variety of different body types. The machine learning model may include an encoder trained to extract body features from an input 3D mesh, and a decoder network trained to drape the garment on the input 3D mesh based at least in part on spectral decomposition of a mesh associated with the garment. The trained machine learning model may then be used to drape the garment or a variation of the garment on a new input body mesh.

Abstract: Methods and systems are provided to generate a base digital file for a garment and a custom digital file for the garment, which may be used in garment production. For example, a system may receive information providing various specifications for manufacturing a garment, generate a base digital file for the garment, receive a request to transform the garment from a first garment size to a second garment size, and then generate a custom digital file for the garment by applying custom user body measurements to the base digital file or by applying a grading scale.

Abstract: Methods and systems are provided to generate a base digital file for a garment, which may be used in garment production. For example, a system may receive a library from a data source and generate a base digital file for the garment. The base digital file may include a garment identifier, a panel object associated with a panel identifier and references to garment information in the library, and a seam object representing a seam that forms a portion of the garment.

Abstract: Methods and systems are provided to generate a base digital file for a garment, which may be used in garment production. For example, a system may receive a library from a data source and generate a base digital file for the garment. The base digital file may include a garment identifier, a panel object associated with a panel identifier and references to garment information in the library, and a seam object representing a seam that forms a portion of the garment.

Abstract: Methods and systems are provided to generate a base digital file for a garment and a custom digital file for the garment, which may be used in garment production. For example, a system may receive information providing various specifications for manufacturing a garment, generate a base digital file for the garment, receive a request to transform the garment from a first garment size to a second garment size, and then generate a custom digital file for the garment by applying custom user body measurements to the base digital file or by applying a grading scale.