In this demo we propose a coarse to fine reconstruction pipeline, which takes a single RGB image as input and outputs a detailed 3D model of the face. The pipeline is composed by two main blocks, the coarse reconstruction block, which is based on a 3D Morphable Model, and the refinement block, which instead grounds on a Generative Adversarial Network (GAN)
This paper introduces a method to obtain a detailed 3D reconstruction of facial skin from a single R...
Since diverse and complex emotions need to be expressed by different facial deformation and appearan...
In this paper, we propose a robust and high-fidelity 3D face reconstruction method that uses multipl...
3D face reconstruction from a single 2D image is a fundamental Computer Vision problem of extraordin...
Reconstructing accurate 3D shapes of human faces from a single 2D image is a highly challenging Comp...
In recent years, 3D facial reconstructions from single images have garnered significant interest. Mo...
Traditional reconstruction techniques extract information from the object’s geometry or one or more ...
3D face reconstruction from a single image is a classical and challenging problem with wide applicat...
With the powerfulness of convolution neural networks (CNN), CNN based face reconstruction has recent...
The last few years have witnessed the great success of generative adversarial networks (GANs) in syn...
In this thesis, we introduce a novel algorithm for reconstructing the 3D shape and texture model of ...
Reconstructing 3D facial shapes is of significant interest in Computer Vision and Computer Graphics....
3D face reconstruction is essential for a number of applications. Most approaches are aimed at produ...
This paper introduces a method to obtain a detailed 3D reconstruction of facial skin from a single R...
3D face reconstruction is a fundamental Computer Vision problem of extraordinary difficulty. Current...
This paper introduces a method to obtain a detailed 3D reconstruction of facial skin from a single R...
Since diverse and complex emotions need to be expressed by different facial deformation and appearan...
In this paper, we propose a robust and high-fidelity 3D face reconstruction method that uses multipl...
3D face reconstruction from a single 2D image is a fundamental Computer Vision problem of extraordin...
Reconstructing accurate 3D shapes of human faces from a single 2D image is a highly challenging Comp...
In recent years, 3D facial reconstructions from single images have garnered significant interest. Mo...
Traditional reconstruction techniques extract information from the object’s geometry or one or more ...
3D face reconstruction from a single image is a classical and challenging problem with wide applicat...
With the powerfulness of convolution neural networks (CNN), CNN based face reconstruction has recent...
The last few years have witnessed the great success of generative adversarial networks (GANs) in syn...
In this thesis, we introduce a novel algorithm for reconstructing the 3D shape and texture model of ...
Reconstructing 3D facial shapes is of significant interest in Computer Vision and Computer Graphics....
3D face reconstruction is essential for a number of applications. Most approaches are aimed at produ...
This paper introduces a method to obtain a detailed 3D reconstruction of facial skin from a single R...
3D face reconstruction is a fundamental Computer Vision problem of extraordinary difficulty. Current...
This paper introduces a method to obtain a detailed 3D reconstruction of facial skin from a single R...
Since diverse and complex emotions need to be expressed by different facial deformation and appearan...
In this paper, we propose a robust and high-fidelity 3D face reconstruction method that uses multipl...