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A survey on face data augmentation for the training of deep neural networks
The quality and size of training set have a great impact on the results of deep learning-
based face-related tasks. However, collecting and labeling adequate samples with high …
based face-related tasks. However, collecting and labeling adequate samples with high …
Data augmentation in classification and segmentation: A survey and new strategies
In the past decade, deep neural networks, particularly convolutional neural networks, have
revolutionised computer vision. However, all deep learning models may require a large …
revolutionised computer vision. However, all deep learning models may require a large …
Ad-nerf: Audio driven neural radiance fields for talking head synthesis
Generating high-fidelity talking head video by fitting with the input audio sequence is a
challenging problem that receives considerable attentions recently. In this paper, we …
challenging problem that receives considerable attentions recently. In this paper, we …
Learning an animatable detailed 3D face model from in-the-wild images
While current monocular 3D face reconstruction methods can recover fine geometric details,
they suffer several limitations. Some methods produce faces that cannot be realistically …
they suffer several limitations. Some methods produce faces that cannot be realistically …
Virtual-reality interpromotion technology for metaverse: A survey
The metaverse aims to build an immersive virtual reality world to support the daily life, work,
and recreation of people. In this survey, the status quo of the metaverse is investigated, and …
and recreation of people. In this survey, the status quo of the metaverse is investigated, and …
Reconstructing personalized semantic facial nerf models from monocular video
We present a novel semantic model for human head defined with neural radiance field. The
3D-consistent head model consist of a set of disentangled and interpretable bases, and can …
3D-consistent head model consist of a set of disentangled and interpretable bases, and can …
Retinaface: Single-shot multi-level face localisation in the wild
Though tremendous strides have been made in uncontrolled face detection, accurate and
efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open …
efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open …
Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set
Recently, deep learning based 3D face reconstruction methods have shown promising
results in both quality and efficiency. However, training deep neural networks typically …
results in both quality and efficiency. However, training deep neural networks typically …
[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 …
Facescape: a large-scale high quality 3d face dataset and detailed riggable 3d face prediction
In this paper, we present a large-scale detailed 3D face dataset, FaceScape, and propose a
novel algorithm that is able to predict elaborate riggable 3D face models from a single image …
novel algorithm that is able to predict elaborate riggable 3D face models from a single image …