Papers GAN image forensics
“GAN image forensics” 태그가 달린 논문 8편 · 필터 해제
Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?
Even though Generative Adversarial Networks (GANs) have shown a remarkable ability to generate high-quality images, GANs do not always guarantee the generation of photorealistic images. Occasionally, they generate images…
GAN image forensicsImage GenerationImage ManipulationImage ReconstructionCDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network
Generative adversarial networks (GANs) have been a popular deep generative model for real-world applications. Despite many recent efforts on GANs that have been contributed, mode collapse and instability of GANs are stil…
GAN image forensicsGenerative Adversarial NetworkImage GenerationSpoof Face Detection Via Semi-Supervised Adversarial Training
Face spoofing causes severe security threats in face recognition systems. Previous anti-spoofing works focused on supervised techniques, typically with either binary or auxiliary supervision. Most of them suffer from lim…
DecoderFace DetectionFace Presentation Attack DetectionFace Recognition+3Video Face Manipulation Detection Through Ensemble of CNNs
In the last few years, several techniques for facial manipulation in videos have been successfully developed and made available to the masses (i.e., FaceSwap, deepfake, etc.). These methods enable anyone to easily edit f…
DeepFake DetectionDetecting Image ManipulationFake Image DetectionGAN image forensics+3On the use of Benford's law to detect GAN-generated images
The advent of Generative Adversarial Network (GAN) architectures has given anyone the ability of generating incredibly realistic synthetic imagery. The malicious diffusion of GAN-generated images may lead to serious soci…
GAN image forensicsGenerative Adversarial NetworkDetecting and Simulating Artifacts in GAN Fake Images
To detect GAN generated images, conventional supervised machine learning algorithms require collection of a number of real and fake images from the targeted GAN model. However, the specific model used by the attacker is …
GAN image forensicsOn the generalization of GAN image forensics
Recently the GAN generated face images are more and more realistic with high-quality, even hard for human eyes to detect. On the other hand, the forensics community keeps on developing methods to detect these generated f…
GAN image forensicsImage ForensicsLearning to Detect Fake Face Images in the Wild
Although Generative Adversarial Network (GAN) can be used to generate the realistic image, improper use of these technologies brings hidden concerns. For example, GAN can be used to generate a tampered video for specific…
Face SwappingFake Image DetectionGAN image forensicsGenerative Adversarial Network+1