Results 11 to 20 of about 30,153 (285)

GAN-AVI: facial expression translator in Twitter avatar analogous to tweet sentiments [PDF]

open access: yesScientific Reports
As widely spread social media platform, Twitter (Now named as X) is seamlessly used by many to share their thoughts and opinions. Twitter Avatar which is the profile image of the user, is initially uploaded when the user takes his account and never ...
Kunada Dhana Sree Devi   +7 more
doaj   +2 more sources

Pixel-based Facial Expression Synthesis [PDF]

open access: yes2020 25th International Conference on Pattern Recognition (ICPR), 2021
Facial expression synthesis has achieved remarkable advances with the advent of Generative Adversarial Networks (GANs). However, GAN-based approaches mostly generate photo-realistic results as long as the testing data distribution is close to the training data distribution.
Arbish Akram, Nazar Khan
openaire   +2 more sources

Face Image Synthesis Driven by Geometric Feature and Attribute Label [PDF]

open access: yesJisuanji kexue, 2022
Aiming at the problems in current face image synthesis,such as the lack of diversity of synthetic appearances and expressions,the low reality of the facial expressions and the low synthesis efficiency,this paper proposes a novel face synthesis network ...
DAI Fu-yun, CHI Jing, REN Ming-guo, ZHANG Qi-dong
doaj   +1 more source

Self-Difference Convolutional Neural Network for Facial Expression Recognition

open access: yesSensors, 2021
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

open access: yesIEEE Access, 2023
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

Facial expression recognition based on active region of interest using deep learning and parallelism [PDF]

open access: yesPeerJ Computer Science, 2022
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

Facial Expression Manipulation for Personalized Facial Action Estimation

open access: yesFrontiers in Signal Processing, 2022
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

DualPathGAN: Facial reenacted emotion synthesis

open access: yesIET Computer Vision, 2021
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

Laughter and smiling facial expression modelling for the generation of virtual affective behavior.

open access: yesPLoS ONE, 2021
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

Facial expression synthesis [PDF]

open access: yesProceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 2003
A new method is presented in this paper for synthesis of an expressionless face image from a face image containing an arbitrary known expression. The proposed method enhances the performance of the existing principal components analysis which can be trained using a limited set of expressionless face images.
openaire   +1 more source

Home - About - Disclaimer - Privacy