Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection
Recently the proliferation of highly realistic synthetic images facilitated through a variety of
GANs and Diffusions has significantly heightened the susceptibility to misuse. While the …
GANs and Diffusions has significantly heightened the susceptibility to misuse. While the …
CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing
Abstract Domain generalization (DG) based Face Anti-Spoofing (FAS) aims to improve the
model's performance on unseen domains. Existing methods either rely on domain labels to …
model's performance on unseen domains. Existing methods either rely on domain labels to …
Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis
This paper investigates the effectiveness of self-supervised pre-trained transformers
compared to supervised pre-trained transformers and conventional neural networks …
compared to supervised pre-trained transformers and conventional neural networks …
Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet
Synthetic Image Verification in the Era of Generative AI: What Works and What Isn’t There Yet
Page 1 1 Synthetic Image Verification in the Era of Generative AI: What Works and What Isn’t …
Page 1 1 Synthetic Image Verification in the Era of Generative AI: What Works and What Isn’t …
A Survey of Defenses against AI-generated Visual Media: Detection, Disruption, and Authentication
Deep generative models have demonstrated impressive performance in various computer
vision applications, including image synthesis, video generation, and medical analysis …
vision applications, including image synthesis, video generation, and medical analysis …