Article

Optimally Configured Generative Adversarial Networks to Distinguish Real and AI- Generated Human Faces

2024-03-19

Abstract excerpt

<title>Abstract</title> <p>Artificial Intelligence (AI) has come a long way in the last several years, especially in terms of producing human-like faces with deep-fake technology. However, the challenge lies in accurately distinguishing between real and AI-generated human faces. As the applications of such technology continue to expand, the need for robust classification methods becomes crucial to ensure ethical...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 94e1b8f8-ba71-5f0e-904a-8e21063bb606
DOI: 10.21203/rs.3.rs-4107900/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Optimally Configured Generative Adversarial Networks to Distinguish Real and AI- Generated Human FacesDOI 10.21203/rs.3.rs-4107900/v1Read

Classifying Real and AI-Generated Images Using Fine-Tuned ResNet50.Semantic proximity Read

Enhancing Human Detection of Real and AI-Generated Hyperrealistic FacesSemantic proximity Read

Enhancing Human Detection of Real and AI-Generated Hyperrealistic FacesSemantic proximity Read

Training super-recognisers’ detection and discrimination of computer-generated facesSemantic proximity Read

Training super-recognisers’ detection and discrimination of computer-generated facesSemantic proximity Read

Considering how machine-learning algorithms (re)produce social biases in generated facesSemantic proximity Read

Photo-Synthesis: Attributed controlled sketch to image translation using Generative Adversarial Networks for assisting criminal identificationSemantic proximity Read

Cycle-consistent Generative Adversarial Networks (CycleGANs) for the Non-Parallel Creation of Fake Voice MediaSemantic proximity Read

Generating and Detecting Autistic Facial Expression Patterns Using Generative AI and Deep LearningSemantic proximity Read

Fast Fake – easy to train Face Swap modelSemantic proximity Read

Face Recognition Utilizing Generative Adversarial Networks and Fuzzy Logicfor Angle ClassificationSemantic proximity Read

Introduction to Diffusion Models, Autoencoders and Transformers: Review of Current AdvancementsSemantic proximity Read