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Facial-Sketch Synthesis: A New Challenge
[article]
2022
arXiv
pre-print
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This paper aims to conduct a comprehensive study on facial-sketch synthesis (FSS). ...
Second, we present the largest-scale FSS investigation by reviewing 89 classical methods, including 25 handcrafted feature-based facial-sketch synthesis approaches, 29 general translation methods, and ...
General Image Synthesis Deep facial-sketch synthesis belongs to the task of image generalization. ...
arXiv:2112.15439v5
fatcat:lr4dofk57ffenklivpadkqjw2e
Joint Deep Learning of Facial Expression Synthesis and Recognition
[article]
2020
arXiv
pre-print
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In this paper, to overcome the above issue, we propose a novel joint deep learning of facial expression synthesis and recognition method for effective FER. ...
Firstly, a facial expression synthesis generative adversarial network (FESGAN) is pre-trained to generate facial images with different facial expressions. ...
In [38] , a new attribute guided facial image synthesis based on GAN is developed to perform image-to-image translation.
C. ...
arXiv:2002.02194v1
fatcat:gtjnfrbk3bg5lidkrengp7f76a
Head2Head++: Deep Facial Attributes Re-Targeting
[article]
2020
arXiv
pre-print
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Facial video re-targeting is a challenging problem aiming to modify the facial attributes of a target subject in a seamless manner by a driving monocular sequence. ...
We leverage the 3D geometry of faces and Generative Adversarial Networks (GANs) to design a novel deep learning architecture for the task of facial and head reenactment. ...
Facial Synthesis and Re-targeting Various deep architectures have been proposed for the image and video synthesis tasks with the aid of Recurrent Neural Networks (RNNs), Variation Auto-encoders (VAE) ...
arXiv:2006.10199v1
fatcat:ylapnwbkzjes5gejb4zmnou6ym
Deep Facial Expression Recognition: A Survey
[article]
2018
arXiv
pre-print
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With the transition of facial expression recognition (FER) from laboratory-controlled to challenging in-the-wild conditions and the recent success of deep learning techniques in various fields, deep neural ...
Finally, we review the remaining challenges and corresponding opportunities in this field as well as future directions for the design of robust deep FER systems. ...
Facial expression synthesis Realistic facial expression synthesis, which can generate various facial expressions for interactive interfaces, is a hot topic. Susskind et al. ...
arXiv:1804.08348v2
fatcat:katpvrizybha5bgy6bepfi3xpe
Deep Semantic Manipulation of Facial Videos
[article]
2022
arXiv
pre-print
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The proposed method is based on a disentangled representation and estimation of the 3D facial shape and activity, providing the user with intuitive and easy-to-use control of the facial expressions in ...
Editing and manipulating facial features in videos is an interesting and important field of research with a plethora of applications, ranging from movie post-production and visual effects to realistic ...
Introduction Manipulation and synthesis of photorealistic facial videos is a significant challenge in computer vision and graphics. ...
arXiv:2111.07902v2
fatcat:rwlyjvrmrvbxngyr4xw5rz2rva
Unsupervised Generation and Synthesis of Facial Images via an Auto-Encoder-Based Deep Generative Adversarial Network
2020
Applied Sciences
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The processing of facial images is an important task, because it is required for a large number of real-world applications. ...
As deep-learning models evolve, they require a huge number of images for training. In reality, however, the number of images available is limited. ...
As a result, our model can be seen as superior in terms of image quality and diversity.
Facial Synthesis Results We test the synthesis of facial images using our model as described in Section 3.4. ...
doi:10.3390/app10061995
fatcat:ewzl3nkcknftdlh45qn322rzi4
Photorealistic Facial Texture Inference Using Deep Neural Networks
2017
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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input picture output albedo map rendering rendering (zoom) rendering (zoom) rendering Figure 1 : We present an inference framework based on deep neural networks for synthesizing photorealistic facial texture ...
We demonstrate that fitting a convex combination of feature correlations from a high-resolution face database can yield a semantically plausible facial detail description of the entire face. ...
The core challenge consists of developing a facial texture inference framework that can capture the immense appearance variations of faces and synthesize realistic highresolution details, while maintaining ...
doi:10.1109/cvpr.2017.250
dblp:conf/cvpr/SaitoWHNL17
fatcat:yzj4thbvrzazlhwva3vlvwhmku
A Survey of Deep Facial Attribute Analysis
[article]
2019
arXiv
pre-print
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In this paper, we provide a comprehensive survey of deep facial attribute analysis from the perspectives of both estimation and manipulation. ...
First, we summarize a general pipeline that deep facial attribute analysis follows, which comprises two stages: data preprocessing and model construction. ...
effects on such a synthesis task. ...
arXiv:1812.10265v3
fatcat:tezgo2angvfefbttuoodnss6t4
Photorealistic Facial Texture Inference Using Deep Neural Networks
[article]
2016
arXiv
pre-print
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We demonstrate that fitting a convex combination of feature correlations from a high-resolution face database can yield a semantically plausible facial detail description of the entire face. ...
To extract the fine appearance details from this incomplete input, we introduce a multi-scale detail analysis technique based on mid-layer feature correlations extracted from a deep convolutional neural ...
The core challenge consists of developing a facial texture inference framework that can capture the immense appearance variations of faces and synthesize realistic highresolution details, while maintaining ...
arXiv:1612.00523v1
fatcat:p56xsh5cufcczohx74tjgehlry
Generating Facial Expressions with Deep Belief Nets
[chapter]
2008
Affective Computing
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After learning a deep belief net, perception of a new image is very fast because it only involves a feedforward pass through the multiple layers. Generation from the multilayer model is slower. ...
A deep belief net for facial expressions
Facial expression dataset In order to learn a generative model from a large and varied corpus of faces, we combined datasets that capture a significant degree ...
doi:10.5772/6167
fatcat:lzahtcdadvcb5fbqa4ucquosiy
A Survey of Deep Facial Attribute Analysis
2020
International Journal of Computer Vision
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In this paper, we provide a comprehensive survey of deep facial attribute analysis from the perspectives of both estimation and manipulation. ...
First, we summarize a general pipeline that deep facial attribute analysis follows, which comprises two stages: data preprocessing and model construction. ...
could have significant effects on such a synthesis task. ...
doi:10.1007/s11263-020-01308-z
fatcat:xmlukvd5qbenzkzjacefhcnope
Mesoscopic Facial Geometry Inference Using Deep Neural Networks
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Unlike current state-of-the-art methods [17, 5] , which assume "dark is deep", our model is trained with measured facial detail collected using polarized gradient illumination in a Light Stage [20]. ...
Figure 1 : Given a flat-lit facial input textures and a base mesh, our system can synthesize high-resolution facial geometry. ...
For the skin detail synthesis, Saito et al. [40] presented a photorealistic texture inference technique using a deep neural network-based feature correlation analysis. ...
doi:10.1109/cvpr.2018.00877
dblp:conf/cvpr/Huynh0SXN0DL18
fatcat:sla2zupg4nbdfddm5cmbcry3ae
HMM-Based Photo-Realistic Talking Face Synthesis Using Facial Expression Parameter Mapping with Deep Neural Networks
2017
Journal of Computer and Communications
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Communications al-speech synthesis, i.e., creating a talking head with synthetic speech and facial animation, is an interesting topic for more advanced man-machine interfaces. ...
This paper proposes a technique for synthesizing a pixel-based photo-realistic talking face animation using two-step synthesis with HMMs and DNNs. ...
When we can prepare a large amount of facial video samples, a promising approach is to use synthesis techniques based on visual unit selection [6] [7] [8] that was inspired by the idea in speech synthesis ...
doi:10.4236/jcc.2017.510006
fatcat:skirpgy22ra4lcpeag4dayne7q
Facial Landmark Based Region of Interest Localization for Deep Facial Expression Recognition
2022
Tehnički Vjesnik
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The realization of a reliable facial expression recognition system through machine learning is still a challenging task particularly on databases with large number of images. ...
For CNNs, a task related best achieving architectural structure does not exist. ...
In this study, a facial landmark-based ROI localization for deep FER task is presented. ...
doi:10.17559/tv-20200423145443
fatcat:z7cfiangtfhabl3tacvxavcgmq
Deep Facial Non-Rigid Multi-View Stereo
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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However, this optimization is challenging since each input image has a different expression. ...
We facilitate it with a CNN network that learns to regularize the non-rigid 3D face according to the input image and preliminary optimization results. ...
Ours Deng et al. [16] Mean (mm) 1.44 1.47 STD (mm) 0.38 0.40 based landmark fitting and emotion priors captured by deep learning while can also synthesis facial details. ...
doi:10.1109/cvpr42600.2020.00589
dblp:conf/cvpr/BaiCRLT20
fatcat:dd2xkgwhwrh67kytc5f7avin34
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