This website uses generative adversarial networks (GAN) to create realistic-looking fake versions of various objects and scenes, exploring the boundaries of computer-generated imagery and the perception of reality
FEATURES
😮 Thisemotiondoesnotexist.com generates AI-generated images of human faces that do not belong to real people.
🤖 The website uses a generative adversarial network (GAN) algorithm, which consists of two neural networks that compete with each other to produce increasingly convincing images.
🎮 Thispersondoesnotexist.com can be used to create realistic avatars for video games, generate models for online stores, and produce unique faces for various creative projects.
📷 The generated faces look incredibly lifelike, making them a popular choice for projects that require realistic avatars or models.
🕵️♀️ It is almost impossible to recognize an image of a fake person generated by AI, but humans’ visual processing systems are far stronger than computers’, so it is possible to recognize forgery by detection.
USE CASES
💻 Emotion Generation: The website uses GANs to generate realistic-looking fake emotions.
🌐 Interactive Exploration: Users can interactively explore a model of emotion ratings and facial expressions on the website.
📊 Statistical Modeling: The website employs a Partial-Least-Squares model for emotions and face-tracking data.
🔍 Emotion Research: The site is designed to call attention to the usefulness of computational approaches for emotion research.
💡 Method Dissemination: The website is used to spread the developed method and its benefits for emotion research.
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