METHOD AND SYSTEM FOR GENERATING HUMAN ANIMATION FROM SMPL SERIES PARAMETERS

    公开(公告)号:US20250148682A1

    公开(公告)日:2025-05-08

    申请号:US18938478

    申请日:2024-11-06

    Abstract: Provided are a method and a system for generating a human animation from SMPL series parameters. An animation generation method according to an embodiment includes: extracting, by a motion extraction module, motion information from an image content; converting, by a motion conversion module, the extracted motion information into parameters required by an animation generation module; and generating, by the animation generation module, a motion image of a human object from the converted motion information. Accordingly, an animation accurately showing motions of an object appearing in an image content by a more realistic 3D model may be generated and digital human contents of high reality may be created and used.

    MULTI-MODAL KNOWLEDGE-BASED CONVERSATION DATA GENERATION AND ADDITIONAL INFORMATION LABELING SYSTEM

    公开(公告)号:US20250139153A1

    公开(公告)日:2025-05-01

    申请号:US18927089

    申请日:2024-10-25

    Abstract: There is provided a multi-modal knowledge-based conversation data generation and additional information labeling system. A conversation data generation method according to an embodiment includes: receiving input of a user utterance; searching pieces of text knowledge related to the user utterance; searching images related to the user utterance; receiving input of an answer to the user utterance referring to the searched text knowledge and images; and collecting the user utterances, the pieces of text knowledge, the images, and the answer to the user utterances as conversation data. Accordingly, open domain knowledge-based conversation data may be established by using both images and texts, and an image may be used as utterance and information acquired from the image may be used as utterance, so that AI conversation data similar to actual conversations can be established.

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