7 citations · 11 across the 3 of their papers we have counts for
4 papers
Computational Design of Free-Form Lampshades
Hiro Nakasuji, Soma Yokota, Yutaka Ohtake +1
Conventional lampshades are predominantly restricted to simple geometries, owing to the difficulty of controlling optical functions across complex shapes. We present a computationa…
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…