
Over two months, Yuichi Fujita developed and refined a diverse set of 3D assets and interactive features for the YuichiFujita/2024_TeamGraduation repository, focusing on immersive live-commentary environments and character customization. He created and integrated models such as commentators, medical props, and a variety of character avatars, applying skills in 3D modeling, texture mapping, and animation using Maya and C++. Fujita enhanced the asset pipeline with UV unwrapping and asset optimization, introduced UI elements like a bulletin board, and implemented systems for AI voice and hairstyle customization. His work demonstrated depth in asset management and iterative visual quality improvements.

January 2025 focused on delivering high-fidelity visual assets, stabilizing the asset pipeline, and expanding the character library for YuichiFujita/2024_TeamGraduation. The work improved visual quality, streaming readiness, and asset scalability while laying groundwork for future customization and iteration cycles.
January 2025 focused on delivering high-fidelity visual assets, stabilizing the asset pipeline, and expanding the character library for YuichiFujita/2024_TeamGraduation. The work improved visual quality, streaming readiness, and asset scalability while laying groundwork for future customization and iteration cycles.
December 2024 monthly summary for YuichiFujita/2024_TeamGraduation. The month focused on delivering immersive live-commentary capabilities, expanding the asset library, UI enhancements, and enabling diverse character appearances for demos and showcases. Deliverables spanned end-to-end live commentary assets, educational/medical props, UI improvements, hair/AI voice systems, and a broad set of character models with improved textures.
December 2024 monthly summary for YuichiFujita/2024_TeamGraduation. The month focused on delivering immersive live-commentary capabilities, expanding the asset library, UI enhancements, and enabling diverse character appearances for demos and showcases. Deliverables spanned end-to-end live commentary assets, educational/medical props, UI improvements, hair/AI voice systems, and a broad set of character models with improved textures.
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