[HTML][HTML] Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence

F Abbas, A Taeihagh - Expert Systems with Applications, 2024 - Elsevier
Due to the fast spread of data through digital media, individuals and societies must assess
the reliability of information. Deepfakes are not a novel idea but they are now a widespread …

Stylesync: High-fidelity generalized and personalized lip sync in style-based generator

J Guan, Z Zhang, H Zhou, T Hu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Despite recent advances in syncing lip movements with any audio waves, current methods
still struggle to balance generation quality and the model's generalization ability. Previous …

Diffswap: High-fidelity and controllable face swap** via 3d-aware masked diffusion

W Zhao, Y Rao, W Shi, Z Liu… - Proceedings of the …, 2023 - openaccess.thecvf.com
In this paper, we propose DiffSwap, a diffusion model based framework for high-fidelity and
controllable face swap**. Unlike previous work that relies on carefully designed network …

Blendface: Re-designing identity encoders for face-swap**

K Shiohara, X Yang, T Taketomi - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
The great advancements of generative adversarial networks and face recognition models in
computer vision have made it possible to swap identities on images from single sources …

Portraitbooth: A versatile portrait model for fast identity-preserved personalization

X Peng, J Zhu, B Jiang, Y Tai, D Luo… - Proceedings of the …, 2024 - openaccess.thecvf.com
Recent advancements in personalized image generation using diffusion models have been
noteworthy. However existing methods suffer from inefficiencies due to the requirement for …

Diffface: Diffusion-based face swap** with facial guidance

K Kim, Y Kim, S Cho, J Seo, J Nam, K Lee, S Kim… - Pattern Recognition, 2025 - Elsevier
We propose a novel diffusion-based framework for face swap**, called DiffFace. Unlike
previous GAN-based models that inherit the challenges of GAN training, ID-conditional …

Deepfake generation and detection: A benchmark and survey

G Pei, J Zhang, M Hu, Z Zhang, C Wang, Y Wu… - ar**_CVPR_2023_paper.pdf" data-clk="hl=ca&sa=T&oi=gga&ct=gga&cd=8&d=2485987268310063736&ei=la28Z-WdJZ-_6rQP3vnx8Qk" data-clk-atid="eNrDyz8AgCIJ" target="_blank">[PDF] thecvf.com

3d-aware face swap**

Y Li, C Ma, Y Yan, W Zhu… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Face swap** is an important research topic in computer vision with wide applications in
entertainment and privacy protection. Existing methods directly learn to swap 2D facial …

Fake it till you make it: Curricular dynamic forgery augmentations towards general deepfake detection

Y Lin, W Song, B Li, Y Li, J Ni, H Chen, Q Li - European Conference on …, 2024 - Springer
Previous studies in deepfake detection have shown promising results when testing face
forgeries from the same dataset as the training. However, the problem remains challenging …