Artificial intelligence in the creative industries: a review
N Anantrasirichai, D Bull - Artificial intelligence review, 2022 - Springer
This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …
applications in the context of the creative industries. A brief background of AI, and …
[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 …
Deep learning for deepfakes creation and detection: A survey
Deep learning has been successfully applied to solve various complex problems ranging
from big data analytics to computer vision and human-level control. Deep learning advances …
from big data analytics to computer vision and human-level control. Deep learning advances …
Text-based editing of talking-head video
Editing talking-head video to change the speech content or to remove filler words is
challenging. We propose a novel method to edit talking-head video based on its transcript to …
challenging. We propose a novel method to edit talking-head video based on its transcript to …
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 …
Towards high-fidelity nonlinear 3D face morphable model
Embedding 3D morphable basis functions into deep neural networks opens great potential
for models with better representation power. However, to faithfully learn those models from …
for models with better representation power. However, to faithfully learn those models from …
Fml: Face model learning from videos
Monocular image-based 3D reconstruction of faces is a long-standing problem in computer
vision. Since image data is a 2D projection of a 3D face, the resulting depth ambiguity …
vision. Since image data is a 2D projection of a 3D face, the resulting depth ambiguity …
Photorealistic audio-driven video portraits
Video portraits are common in a variety of applications, such as videoconferencing, news
broadcasting, and virtual education and training. We present a novel method to synthesize …
broadcasting, and virtual education and training. We present a novel method to synthesize …
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 …
Towards high fidelity monocular face reconstruction with rich reflectance using self-supervised learning and ray tracing
Robust face reconstruction from monocular image in general lighting conditions is
challenging. Methods combining deep neural network encoders with differentiable …
challenging. Methods combining deep neural network encoders with differentiable …