Search Results for author:
Found 7 papers, 4 papers with code
Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks
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.
Event-based Camera Simulation using Monte Carlo Path Tracing with Adaptive Denoising
This paper presents an algorithm to obtain an event-based video from noisy frames given by physics-based Monte Carlo path tracing over a synthetic 3D scene.
Deep Point-to-Plane Registration by Efficient Backpropagation for Error Minimizing Function
To solve this problem, we consider the estimated rigid transformation as a function of input point clouds and derive its analytic gradients using the implicit function theorem.
Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks
Compared to the original DIP that transforms a fixed random code into a noise-free image by the neural network, we reproduce vertex displacement from a fixed random code and reproduce facet normals from feature vectors that summarize local triangle arrangements.
Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks
This paper addresses mesh restoration problems, i. e., denoising and completion, by learning self-similarity in an unsupervised manner.
FSNet: An Identity-Aware Generative Model for Image-based Face Swapping
We herein represent the face region with a latent variable that is assigned with the proposed deep neural network (DNN) instead of facial textures.
RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces
The proposed network independently handles face and hair appearances in the latent spaces, and then, face swapping is achieved by replacing the latent-space representations of the faces, and reconstruct the entire face image with them.
