Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis [PDF]
Compared to facial expression recognition, expression synthesis requires a very high-dimensional mapping. This problem exacerbates with increasing image sizes and limits existing expression synthesis approaches to relatively small images. We observe that
Nazar Khan +4 more
openalex +2 more sources
Self-Difference Convolutional Neural Network for Facial Expression Recognition
Facial expression recognition (FER) is a challenging problem due to the intra-class variation caused by subject identities. In this paper, a self-difference convolutional network (SD-CNN) is proposed to address the intra-class variation issue in FER ...
Leyuan Liu +3 more
doaj +1 more source
Facial Expression Transfer Based on Conditional Generative Adversarial Networks
With the development of computer vision and image transfer, facial expression transfer has been more and more widespread applications. But there are still some problems, such as lack of realistic expression, poor retention of facial identity features and
Yang Fan +3 more
doaj +1 more source
Photo-realistic facial expression synthesis [PDF]
This paper details a procedure for generating a function which maps an image of a neutral face to one depicting a desired expression independent of age, sex, or skin colour. Facial expression synthesis is a growing and relatively new domain within computer vision.
Ghent, John, McDonald, John
openaire +2 more sources
Facial Expression Manipulation for Personalized Facial Action Estimation
Limited sizes of annotated video databases of spontaneous facial expression, imbalanced action unit labels, and domain shift are three main obstacles in training models to detect facial actions and estimate their intensity.
Koichiro Niinuma +3 more
doaj +1 more source
Facial expression recognition based on active region of interest using deep learning and parallelism [PDF]
The automatic facial expression tracking method has become an emergent topic during the last few decades. It is a challenging problem that impacts many fields such as virtual reality, security surveillance, driver safety, homeland security, human ...
Mohammad Alamgir Hossain, Basem Assiri
doaj +2 more sources
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning [PDF]
Manipulating facial expressions is a challenging task due to fine-grained shape changes produced by facial muscles and the lack of input-output pairs for supervised learning. Unlike previous methods using Generative Adversarial Networks (GAN), which rely
Rumeysa Bodur +2 more
semanticscholar +1 more source
DualPathGAN: Facial reenacted emotion synthesis
Facial reenactment has developed rapidly in recent years, but few methods have been built upon reenacted face in videos. Facial‐reenacted emotion synthesis can make the process of facial reenactment more practical.
Jiahui Kong, Haibin Shen, Kejie Huang
doaj +1 more source
Comprehensive Facial Expression Synthesis Using Human-Interpretable Language [PDF]
Recent advances in facial expression synthesis have shown promising results using diverse expression representations including facial action units. Facial action units for an elaborate facial expression synthesis need to be intuitively represented for human comprehension, not a numeric categorization of facial action units.
Hong, Joanna +3 more
openaire +2 more sources
Laughter and smiling facial expression modelling for the generation of virtual affective behavior.
Laughter and smiling are significant facial expressions used in human to human communication. We present a computational model for the generation of facial expressions associated with laughter and smiling in order to facilitate the synthesis of such ...
Miquel Mascaró +4 more
doaj +1 more source

