[HTML][HTML] Survey on 3D face reconstruction from uncalibrated images
Recently, a lot of attention has been focused on the incorporation of 3D data into face
analysis and its applications. Despite providing a more accurate representation of the face …
analysis and its applications. Despite providing a more accurate representation of the face …
Ganfit: Generative adversarial network fitting for high fidelity 3d face reconstruction
In the past few years, a lot of work has been done towards reconstructing the 3D facial
structure from single images by capitalizing on the power of Deep Convolutional Neural …
structure from single images by capitalizing on the power of Deep Convolutional Neural …
Wing loss for robust facial landmark localisation with convolutional neural networks
We present a new loss function, namely Wing loss, for robust facial landmark localisation
with Convolutional Neural Networks (CNNs). We first compare and analyse different loss …
with Convolutional Neural Networks (CNNs). We first compare and analyse different loss …
3d morphable face models—past, present, and future
In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …
since they were first proposed. The challenges in building and applying these models …
Fast-ganfit: Generative adversarial network for high fidelity 3d face reconstruction
A lot of work has been done towards reconstructing the 3D facial structure from single
images by capitalizing on the power of Deep Convolutional Neural Networks (DCNNs). In …
images by capitalizing on the power of Deep Convolutional Neural Networks (DCNNs). In …
Photo-realistic facial details synthesis from single image
We present a single-image 3D face synthesis technique that can handle challenging facial
expressions while recovering fine geometric details. Our technique employs expression …
expressions while recovering fine geometric details. Our technique employs expression …
Frankenstein: Learning deep face representations using small data
Deep convolutional neural networks have recently proven extremely effective for difficult
face recognition problems in uncontrolled settings. To train such networks, very large …
face recognition problems in uncontrolled settings. To train such networks, very large …
Joint face alignment and 3D face reconstruction with application to face recognition
Face alignment and 3D face reconstruction are traditionally accomplished as separated
tasks. By exploring the strong correlation between 2D landmarks and 3D shapes, in contrast …
tasks. By exploring the strong correlation between 2D landmarks and 3D shapes, in contrast …
Dynamic attention-controlled cascaded shape regression exploiting training data augmentation and fuzzy-set sample weighting
We present a new Cascaded Shape Regression (CSR) architecture, namely Dynamic
Attention-Controlled CSR (DAC-CSR), for robust facial landmark detection on unconstrained …
Attention-Controlled CSR (DAC-CSR), for robust facial landmark detection on unconstrained …
[HTML][HTML] Gaussian mixture 3D morphable face model
Abstract 3D Morphable Face Models (3DMM) have been used in pattern recognition for
some time now. They have been applied as a basis for 3D face recognition, as well as in an …
some time now. They have been applied as a basis for 3D face recognition, as well as in an …