Results 21 to 30 of about 125,758 (275)
VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition [PDF]
, 2018 Reliable facial expression recognition plays a critical role in human-machine interactions. However, most of the facial expression analysis methodologies proposed to date pay little or no attention to the protection of a user's privacy. In this paper, we
Chen, Jiawei +2 more
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Mean value coordinates–based caricature and expression synthesis [PDF]
, 2013 We present a novel method for caricature synthesis based on mean value coordinates (MVC). Our method can be applied to any single frontal face image to learn a specified caricature face pair for frontal and 3D caricature synthesis.
B. Gooch +9 more
core +1 more source
Video Synthesis from the StyleGAN Latent Space [PDF]
, 2020 Generative models have shown impressive results in generating synthetic images. However, video synthesis is still difficult to achieve, even for these generative models.
Zhang, Lei
core +2 more sources
Multimodal Technologies and Interaction, 2023 Sign language (SL) avatar systems aid communication between the hearing and deaf communities. Despite technological progress, there is a lack of a standardized avatar development framework.
Maryam Aziz, Achraf Othman
doaj +1 more source
Geometry Guided Adversarial Facial Expression Synthesis [PDF]
Proceedings of the 26th ACM international conference on Multimedia, 2018 Facial expression synthesis has drawn much attention in the field of computer graphics and pattern recognition. It has been widely used in face animation and recognition. However, it is still challenging due to the high-level semantic presence of large and non-linear face geometry variations. This paper proposes a Geometry-Guided Generative Adversarial
Song, Lingxiao +4 more
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Bosphorus database for 3d face analysis [PDF]
, 2008 . A new 3D face database that includes a rich set of expressions, systematic variation of poses and different types of occlusions is presented in this paper.
Arman Savran +5 more
core +2 more sources
Action Unit Detection by Learning the Deformation Coefficients of a 3D Morphable Model
Sensors, 2021 Facial Action Units (AUs) correspond to the deformation/contraction of individual facial muscles or their combinations. As such, each AU affects just a small portion of the face, with deformations that are asymmetric in many cases.
Luigi Ariano +3 more
doaj +1 more source
HeadOn: Real-time Reenactment of Human Portrait Videos [PDF]
, 2018 We propose HeadOn, the first real-time source-to-target reenactment approach for complete human portrait videos that enables transfer of torso and head motion, face expression, and eye gaze. Given a short RGB-D video of the target actor, we automatically
Nießner, Matthias +4 more
core +3 more sources
3D Facial expression synthesis: A survey [PDF]
2013 8th International Conference on Information Technology in Asia (CITA), 2013 Facial expression synthesis is a process of generating new face shapes from a given face and still retain the distinct facial characteristics of the initial face. The generated facial expressions can be used to improve the performance of existing face identification systems, or to enhance human recognition. Earlier work on synthesizing face shapes used
Samuel Agianpuye, Jacey-Lynn Minoi
openaire +1 more source
An experimental study of animating-based facial image manipulation in online class environments
Scientific Reports, 2023 Recent advances in artificial intelligence technology have significantly improved facial image manipulation, which is known as Deepfake. Facial image manipulation synthesizes or replaces a region of the face in an image with that of another face.
Jeong-Ha Park +2 more
doaj +1 more source