Abstract: An automatic arrangement method and device may receive pattern information for each pattern including shapes and sizes of patterns constituting a garment. Arrangement points at which the patterns are to be initially arranged on a three-dimensional (3D) avatar are predicted by applying the pattern information for each pattern to a neural network model trained to classify and arrange the patterns based on confidence scores calculated based on the pattern information. The patterns are arranged on the 3D avatar based on the arrangement points.

Abstract: Simulating draping of a 3-dimensional (3D) fabric by providing user input representing physical property parameters of a fabric through a graphical user interface. Once the physical property parameters are received, a 3D shape of fabric is generated by applying the physical property parameters to a neural network.

Abstract: Estimating a material property parameter of fabric involves receiving information including a three-dimensional (3D) contour shape of fabric placed over a 3D geometric object, estimating a material property parameter of the fabric used for representing drape shapes of 3D clothes made by the fabric by applying the information to a trained artificial neural network, and providing the material property parameter of the fabric.

Abstract: A method and apparatus for transforming an input model according to an example embodiment are disclosed. The method includes receiving an input model including a first mesh with a first topology, generating a template model including a second mesh with a second topology, aligning the template model with the input model, generating correlation information between the second mesh of the aligned template model and the first mesh of the input model, generating, based on a skeleton of the aligned template model, a skeleton of the input model, generating, based on the correlation information, first skinning information indicating a connection relation between the skeleton of the input model and the first mesh, and transforming, based on at least one of the correlation information and the first skinning information, the input model.

Abstract: Estimating a material property parameter of fabric involves receiving information including a three-dimensional (3D) contour shape of fabric placed over a 3D geometric object, estimating a material property parameter of the fabric used for representing drape shapes of 3D clothes made by the fabric by applying the information to a trained artificial neural network, and providing the material property parameter of the fabric.

Abstract: Provided are a virtual fitting device and a virtual fitting method thereof. The virtual fitting method includes acquiring a live video by photographing a user, acquiring a virtual video which includes an avatar corresponding to the user based on a body shape and a movement of the user, determining each composition area of the live video and the virtual video by analyzing the live video and the virtual video, and outputting a virtual fitting video by composing the composition area of the live video and the composition area of the virtual video.

Abstract: An image processing method of a display apparatus. According to an embodiment the image processing method includes receiving image data for constructing a 3D image, dividing the 3D image into a plurality of objects based on the received image data and generating a 2D image with respect to each of the plurality of objects based on information on a viewpoint from which the 3D image is viewed, and synthesizing 2D images with respect to the plurality of objects based on distances between the viewpoint and the plurality of objects and displaying the synthesized 2D images.

Abstract: Provided are a virtual fitting device and a virtual fitting method thereof. The virtual fitting method includes acquiring a live video by photographing a user, acquiring a virtual video which includes an avatar corresponding to the user based on a body shape and a movement of the user, determining each composition area of the live video and the virtual video by analyzing the live video and the virtual video, and outputting a virtual fitting video by composing the composition area of the live video and the composition area of the virtual video.

Abstract: A method for providing three-dimensional (3D) data of a cloth is disclosed. The method includes: acquiring images corresponding to panels of a cloth; identifying a shape of each of the acquired images; determining types of the panels based on the identified shape of each of the images; and generating 3D data of the cloth by combining the acquired images based on the determined types of the panels.