A new data-driven approach to bring humanity into virtual worlds with computer vision
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- THOMAS DIEGO
- Principal Investigator
- 九州大学
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- 鍛冶 静雄
- Co-Investigator
- 九州大学
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- 古賀 靖子
- Co-Investigator
- 九州大学
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- 川崎 洋
- Co-Investigator
- 九州大学
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- 落合 啓之
- Co-Investigator
- 九州大学
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
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- Multi-year Fund
- Single-year Grants
- Review Section / Research Field
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- 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
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- 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.
Keywords
Details 詳細情報について
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- CRID
- 1040862776834954368
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- Text Lang
- ja
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- Data Source
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- KAKEN