7 citations · 11 across the 4 of their papers we have counts for
6 papers
Attention-guided reference point shifting for Gaussian-mixture-based partial point set registration
Mizuki Kikkawa, Tatsuya Yatagawa, Yutaka Ohtake +1
This study investigates the impact of the invariance of feature vectors for partial-to-partial point set registration under translation and rotation of input point sets, particular…
Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks
Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake +1
In this paper, we present a self-prior-based mesh inpainting framework that requires only an incomplete mesh as input, without the need for any training datasets. Additionally, our…
Deep Point-to-Plane Registration by Efficient Backpropagation for Error Minimizing Function
Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki
Traditional algorithms of point set registration minimizing point-to-plane distances often achieve a better estimation of rigid transformation than those minimizing point-to-point…
Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks
Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake +1
This paper addresses mesh restoration problems, i.e., denoising and completion, by learning self-similarity in an unsupervised manner. For this purpose, the proposed method, which…
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…
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.…