S
Shigeo Morishima
Researcher at Waseda University
Publications - 367
Citations - 3812
Shigeo Morishima is an academic researcher from Waseda University. The author has contributed to research in topics: Facial expression & Computer facial animation. The author has an hindex of 23, co-authored 346 publications receiving 2791 citations. Previous affiliations of Shigeo Morishima include Nanyang Technological University & University of Southern California.
Papers
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Proceedings ArticleDOI
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
TL;DR: Pixel-aligned Implicit Function (PIFu) as mentioned in this paper aligns pixels of 2D images with the global context of their corresponding 3D object to produce highresolution surfaces including largely unseen regions such as the back of a person.
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PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
TL;DR: The proposed Pixel-aligned Implicit Function (PIFu), an implicit representation that locally aligns pixels of 2D images with the global context of their corresponding 3D object, achieves state-of-the-art performance on a public benchmark and outperforms the prior work for clothed human digitization from a single image.
Proceedings ArticleDOI
SiCloPe: Silhouette-Based Clothed People
TL;DR: This work introduces a new silhouette-based representation for modeling clothed human bodies using deep generative models that can reconstruct a complete and textured 3D model of a person wearing clothes from a single input picture.
Journal ArticleDOI
High-fidelity facial reflectance and geometry inference from an unconstrained image
Shugo Yamaguchi,Shunsuke Saito,Koki Nagano,Yajie Zhao,Weikai Chen,Kyle Olszewski,Shigeo Morishima,Hao Li +7 more
TL;DR: A deep learning-based technique to infer high-quality facial reflectance and geometry given a single unconstrained image of the subject, which may contain partial occlusions and arbitrary illumination conditions, and demonstrates the rendering of high-fidelity 3D avatars from a variety of subjects captured under different lighting conditions.
Journal ArticleDOI
A media conversion from speech to facial image for intelligent man-machine interface
TL;DR: An automatic field motion image synthesis scheme (driven by speech) and a real-time image synthesis design are presented to realize an intelligent human-machine interface or intelligent communication system with talking head images.