A new data-driven approach to bring humanity into virtual worlds with computer vision

About this project

Japan Grant Number
JP23K28129
Funding Program
Grants-in-Aid for Scientific Research
Funding organization
Japan Society for the Promotion of Science
Project/Area Number
23K28129
Research Category
Grant-in-Aid for Scientific Research (B)
Allocation Type
  • Multi-year Fund
  • Single-year Grants
Review Section / Research Field
  • Basic Section 61020:Human interface and interaction-related
  • Basic Section 62040:Entertainment and game informatics-related
  • Sections That Are Subject to Joint Review: Basic Section61020:Human interface and interaction-related , Basic Section62040:Entertainment and game informatics-related
Research Institution
  • Kyushu University
Project Period (FY)
2023-04-01 〜 2026-03-31
Project Status
Granted
Budget Amount*help
18,590,000 Yen (Direct Cost: 14,300,000 Yen Indirect Cost: 4,290,000 Yen)

Research Abstract

The core idea is to leverage RGB-D data to achieve realism of digital humans. We propose: (1) Weakly supervised method to learn 3D shape from in-the-wild RGB-D data. (2) Real-time animation model to learn motion from RGB-D videos. (3) Data-driven method to learn semantically appropriate body movements.

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