Device and method for generating dynamic texture map for 3 dimensional digital human

US2024203027A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2024203027-A1
Application numberUS-202318544111-A
CountryUS
Kind codeA1
Filing dateDec 18, 2023
Priority dateDec 20, 2022
Publication dateJun 20, 2024
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A device and a method for generating dynamic texture map for 3 dimensional digital human are disclosed. The method comprises generating high-quality images from low-quality images including a low-quality object; generating partial high-quality images including a high-quality object by replacing the low-quality object within the low-quality images with the high-quality object within the high-quality images; and generating a high-quality texture map for a 3D model corresponding to the high-quality object using the partial high-quality images.

First claim

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What is claimed is: 1 . A computer-implemented method for generating a high-quality texture map for a digital human comprising: generating high-quality images from low-quality images including a low-quality object; generating partial high-quality images including a high-quality object by replacing the low-quality object within the low-quality images with the high-quality object within the high-quality images; and generating a high-quality texture map for a 3D model corresponding to the high-quality object using the partial high-quality images. 2 . The method of claim 1 , wherein the low-quality images indicate key frame images among rendered images. 3 . The method of claim 1 , wherein the generating of the partial high-quality images includes: separating the low-quality object from the background of the low-quality images; separating the high-quality object from the background of the high-quality images; and replacing at least a part of the low-quality object with a corresponding part of the high-quality object. 4 . The method of claim 1 , wherein the generating of the high-quality texture map for the 3D model includes: generating the 3D model with the same shape and pose as the high-quality object within the partial high-quality images and with a partial texture map related to the high-quality object; separating the 3D model into the shape and the partial texture map; and generating a complete texture map by performing inpainting on the partial texture map. 5 . The method of claim 1 , wherein the low-quality images are obtained by rendering the shape of the 3D model and the low-quality texture map for the 3D model. 6 . The method of claim 5 , wherein the generating of the high-quality texture map for the 3D model includes: generating the high-quality texture map by applying the high-quality object to the low-quality texture map based on a mapping relationship between each part of the low-quality texture map and each part of the high-quality object. 7 . A device for generating a high-quality texture map for a digital human comprising: at least one memory storing computer-executable instructions; and at least one processor, wherein the at least one processor is configured to execute the computer-executable instructions to: generates high-quality images from low-quality images including low-quality objects; generates partial high-quality images including a high-quality object by the low-quality object within the low-quality images with a high-quality object within the high-quality images; and generates a high-quality texture map for a 3D model corresponding to the high-quality object using the partial high-quality images. 8 . The device of claim 7 , wherein the low-quality images indicate key frame images among rendered images. 9 . The device of claim 7 , wherein the at least one processor: separates the low-quality object from the background of the low-quality images; separates the high-quality object from the background of the high-quality images; and replaces at least a part of the low-quality object with a corresponding part of the high-quality object. 10 . The device of claim 7 , wherein the at least one processor: generates the 3D model with the same shape and pose as the high-quality object within the partial high-quality images and with a partial texture map related to the high-quality object; separates the 3D model into the shape and the partial texture map; and generates a complete texture map by performing inpainting on the partial texture map. 11 . The device of claim 7 , wherein the low-quality images are obtained by rendering the shape of the 3D model and the low-quality texture map for the 3D model. 12 . The device of claim 11 , wherein the at least one processor: generates the high-quality texture map by applying the high-quality object to the low-quality texture map based on a mapping relationship between each part of the low-quality texture map and each part of the high-quality object.

Assignees

Inventors

Classifications

  • G06T15/04Primary

    Texture mapping · CPC title

  • Three-dimensional [3D] modelling for computer graphics · CPC title

  • using two or more images, e.g. averaging or subtraction · CPC title

  • G06T5/77Primary

    Retouching; Inpainting; Scratch removal · CPC title

  • Human being; Person · CPC title

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What does patent US2024203027A1 cover?
A device and a method for generating dynamic texture map for 3 dimensional digital human are disclosed. The method comprises generating high-quality images from low-quality images including a low-quality object; generating partial high-quality images including a high-quality object by replacing the low-quality object within the low-quality images with the high-quality object within the high-qua…
Who is the assignee on this patent?
Electronics & Telecommunications Res Inst
What technology area does this patent fall under?
Primary CPC classification G06T15/04. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Jun 20 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).