More real than real: A study on human visual perception of synthetic faces [applications corner]

F Lago, C Pasquini, R Böhme… - IEEE Signal …, 2021 - ieeexplore.ieee.org
Deep fakes have recently become popular. The term refers to doctored media content where
one's face is swapped with someone else's face or performs someone else's face …

Quantum-inspired heuristic algorithm for secure healthcare prediction using blockchain technology

H Mazumdar, C Chakraborty… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
People's health is adversely affected by environmental changes and poor nutritional habits,
emphasizing the importance of health awareness. The healthcare system encounters …

Faceclip: Facial image-to-video translation via a brief text description

J Guo, H Manukyan, C Yang, C Wang… - … on Circuits and …, 2023 - ieeexplore.ieee.org
The existing image-to-video translation methods generally follow a frame-by-frame
generative paradigm, while extracting the temporal information from a reference video or an …

Towards spatially disentangled manipulation of face images with pre-trained StyleGANs

Y Liu, Q Li, Q Deng, Z Sun - … on Circuits and Systems for Video …, 2022 - ieeexplore.ieee.org
Generative Adversarial Networks with style-based generators could successfully synthesize
realistic images from input latent code. Moreover, recent studies have revealed that …

Learning 3d face reconstruction from the cycle-consistency of dynamic faces

W Yang, Y Zhao, B Yang, J Shen - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reconstructinga 3D face from a single image is a crucial task in numerous multimedia
applications. Face images with ground-truth 3D face shapes are scarce, so unsupervised …

Transformer-based 3d face reconstruction with end-to-end shape-preserved domain transfer

Z Chen, Y Wang, T Guan, L Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Learning-based face reconstruction methods have recently shown promising performance in
recovering face geometry from a single image. However, the lack of training data with 3D …

Hr-net: a landmark based high realistic face reenactment network

Q Ren, Z Lu, H Wu, J Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the past, GAN-based face reenactment methods concentrated mostly on transferring the
facial expressions and positions of the source. However, the generated results were …

Segment anything for videos: A systematic survey

C Zhang, Y Cui, W Lin, G Huang, Y Rong, L Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
The recent wave of foundation models has witnessed tremendous success in computer
vision (CV) and beyond, with the segment anything model (SAM) having sparked a passion …

[HTML][HTML] Facial expression video generation based-on spatio-temporal convolutional gan: Fev-gan

H Bouzid, L Ballihi - Intelligent Systems with Applications, 2022 - Elsevier
Facial expression generation has always been an intriguing task for scientists and
researchers all over the globe. In this context, we present our novel approach for generating …

Audio-driven dubbing for user generated contents via style-aware semi-parametric synthesis

L Song, W Wu, C Fu, CC Loy… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Existing automated dubbing methods are usually designed for Professionally Generated
Content (PGC) production, which requires massive training data and training time to learn a …