XR

Q&A for HedgehogAD: Interactive Design Exploration of Omni-Directional Aerodynamics

Author(s)/Presenter(s):
Tomoya Kumazaki, University of Tokyo, Japan
Kazutaka Nakashima, University of Tokyo, Japan
Tsukasa Fukusato, University of Tokyo, Japan
Takeo Igarashi, University of Tokyo, Japan

Abstract: A method to add user-controllability to an aerodynamic model for designing chaotic falling motions. Our system enables to edit force and torque coefficients around objects and updates the internal representation.

Q&A for Song2Face: Synthesizing Singing Facial Animation from Audio

Author(s)/Presenter(s):
Shohei Iwase, Waseda University, Japan
Takuya Kato, ExaWizards Inc., Waseda University, Japan
Shugo Yamaguchi, Waseda University, Japan
Yukitaka Tsuchiya, Waseda University, Japan
Shigeo Morishima, Waseda Research Institute for Science and Engineering, Japan

Abstract: We present Song2Face a deep neural network capable of producing singing facial animation in various singing styles from an input of singing voice and singer label.

Q&A for Spherical Light Integration over Spherical Caps via Spherical Harmonics

Author(s)/Presenter(s):
Zihong Zhou, South China Agricultural University, China
Li-Yi Wei, Adobe Research, United States of America

Abstract: We present triple sphere, a method to integrate spherical lights over spherical caps via spherical harmonics for rendering applications.

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