145 citations · 372 across the 6 of their papers we have counts for
6 papers
Do We Need Sound for Sound Source Localization?
Takashi Oya, Shohei Iwase, Ryota Natsume +3
During the performance of sound source localization which uses both visual and aural information, it presently remains unclear how much either image or sound modalities contribute…
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
Shunsuke Saito, Zeng Huang, Ryota Natsume +3
We introduce Pixel-aligned Implicit Function (PIFu), a highly effective implicit representation that locally aligns pixels of 2D images with the global context of their correspondi…
SiCloPe: Silhouette-Based Clothed People
Ryota Natsume, Shunsuke Saito, Zeng Huang +4
We introduce a new silhouette-based representation for modeling clothed human bodies using deep generative models. Our method can reconstruct a complete and textured 3D model of a…
FSNet: An Identity-Aware Generative Model for Image-based Face Swapping
Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima
This paper presents FSNet, a deep generative model for image-based face swapping. Traditionally, face-swapping methods are based on three-dimensional morphable models (3DMMs), and…
Understanding Fake Faces
Ryota Natsume, Kazuki Inoue, Yoshihiro Fukuhara +3
Face recognition research is one of the most active topics in computer vision (CV), and deep neural networks (DNN) are now filling the gap between human-level and computer-driven p…
RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces
Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima
In this paper, we present an integrated system for automatically generating and editing face images through face swapping, attribute-based editing, and random face parts synthesis.…