Abstract:
Disclosed herein are an apparatus and method for generating a training data set for machine learning. The method for generating a training data set, performed by the apparatus for generating the training data set for machine learning, includes generating a 3D model for a deformed 3D character based on 3D data pertaining to the 3D character, generating a 2D image corresponding to the 3D model, and generating the training data set for machine learning, through which the 3D character is generated from the 2D image, using the 2D image and the 3D model.
Abstract:
An apparatus and method for reconstructing an experience item in 3D. The apparatus for reconstructing an experience item in 3D includes a 3D data generation unit for generating 3D data by reconstructing the 3D shape of a target object to be reconstructed in 3D, a 2D data generation unit for generating 2D data by performing 2D parameterization on the 3D data, an attribute setting unit for assigning attribute information corresponding to the target object to the 3D data, an editing unit for receiving editing of the 2D data from a user, and an experience item generation unit for generating an experience item corresponding to the target object using the 3D data corresponding to the edited 2D data and the attribute information.
Abstract:
Provided is a rendering method and a device for improving realism of a rendered image. The method includes receiving training image data including a real image, generating a rendering simulation image using the training image data, acquiring background feature information by separating foreground and background areas on the basis of the rendering simulation image or the training image data, acquiring latent feature information required for generating a realistic image on the basis of the rendering simulation image, and generating a realistic image on the basis of the latent feature information and the background feature information.
Abstract:
Disclosed is a method for realistic visualization of a digital human, the method including: setting a specific action of the digital human; determining a scene including the specific action of the digital human and rendering the determined scene to generate a first rendered video; capturing images constituting the first rendered video for each frame to obtain frame data; inputting each piece of the frame data of the first rendered video to two or more realistic visualization modules to obtain frame data of a second rendered video; and combining the frame data of the second rendered video to generate a realistically visualized scene.
Abstract:
Disclosed herein are an apparatus and method for generating a 3D model. The apparatus for generating a 3D model includes one or more processors, and an execution memory for storing at least one program that is executed by the one or more processors, wherein the at least one program is configured to receive two-dimensional (2D) original image layers for respective viewpoints, and generate pieces of 2D original image information for respective objects by performing original image alignment on the 2D original image layers for respective viewpoints for each predefined object type, generate 3D model layers for respective objects from the pieces of 2D original image information for respective objects using multiple learning models corresponding to the predefined object types, and generate a 3D model by synthesizing the 3D model layers for respective objects.
Abstract:
An apparatus and method for providing augmented reality-based realistic experience. The apparatus for providing augmented reality-based realistic experience includes a hardware unit and a software processing unit. The hardware unit includes a mirror configured to have a reflective characteristic and a transmissive characteristic, a display panel configured to present an image of an augmented reality entity, and a sensor configured to acquire information about a user. The software processing unit presents the augmented reality entity via the display panel based on the information about the user from the hardware unit after performing color compensation on the color of the augmented reality entity.
Abstract:
Disclosed herein are a learning-based three-dimensional (3D) model creation apparatus and method. A method for operating a learning-based 3D model creation apparatus includes generating multi-view feature images using supervised learning, creating a three-dimensional (3D) mesh model using a point cloud corresponding to the multi-view feature images and a feature image representing internal shape information, generating a texture map by projecting the 3D mesh model into three viewpoint images that are input, and creating a 3D model using the texture map.
Abstract:
A method and a system for generating a 3D image of a character through steps of: receiving an identifier of a template and a two-dimensional (2D) image of the character generated based on the template corresponding to a type of the character; acquiring template information of the template from a template library by using the identifier, and extracting an effective parameter for machine learning to be performed to generate the 3D image based on the template information and the 2D image; and generating the 3D image of the character by performing the machine learning based on the effective parameter and the template information are provided.
Abstract:
Disclosed herein are an apparatus and method for guiding multi-view capture. The apparatus for guiding multi-view capture includes one or more processors and an execution memory for storing at least one program that is executed by the one or more processors, wherein the at least one program is configured to receive a single-view two-dimensional (2D) image obtained by capturing an image of an object of interest through a camera, generate an orthographic projection image and a perspective projection image for the object of interest from the single-view 2D image using an image conversion parameter that is previously learned from multi-view 2D images for the object of interest, generate a 3D silhouette model for the object of interest using the orthographic projection image and the perspective projection image, and output the 3D silhouette model and a guidance interface for the 3D silhouette model.
Abstract:
Disclosed herein are a learning-based three-dimensional (3D) model creation apparatus and method. A method for operating a learning-based 3D model creation apparatus includes generating multi-view feature images using supervised learning, creating a three-dimensional (3D) mesh model using a point cloud corresponding to the multi-view feature images and a feature image representing internal shape information, generating a texture map by projecting the 3D mesh model into three viewpoint images that are input, and creating a 3D model using the texture map.