7 citations · 11 across the 3 of their papers we have counts for
3 papers · 1 filter
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…