Search Results for author:
Found 3 papers, 2 papers with code
High-Quality 3D Face Reconstruction with Affine Convolutional Networks
In our method, an affine transformation matrix is learned from the affine convolution layer for each spatial location of the feature maps.
MeInGame: Create a Game Character Face from a Single Portrait
To tackle these problems, we propose 1) a low-cost facial texture acquisition method, 2) a shape transfer algorithm that can transform the shape of a 3DMM mesh to games, and 3) a new pipeline for training 3D game face reconstruction networks.
Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networks
In this paper, we introduce a method to reconstruct 3D facial shapes with high-fidelity textures from single-view images in-the-wild, without the need to capture a large-scale face texture database.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
