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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


  • 😮 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.
  • 🎮 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.


  • 💻 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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