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Image generation 2019-02-11

Thispersondoesnotexist

1.0(1)

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Image generation

Overview

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This Person Does Not Exist is a tool that uses a generative adversarial network (GAN) to generate realistic human images. Developed by Tero Karras, et al.

and Nvidia, this tool uses StyleGAN2, a type of GAN that combines traditional convolutional neural networks and generative networks. Code is available to train your own GAN and the tool can generate realistic human images, cats, horses, and chemicals.

Additionally, the tool can be used to dream up any image. This tool is useful for creating realistic images for research, art, and other applications.

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Image generation Thispersondoesnotexist 1.0(1)

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Comments(1)

Shaun O'Connor

Feb 22, 2024

Recently this site has added watermarking on their images (you can get rid of them by forking out for a subscription plan apparently). If you don't want watermarks, Dl a reputable open source SD UI and a fairly up to date SD model and you can do the same thing locally, no watermarks, no fees, and in most cases no restrictions, just learn to prompt and have fun.

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Thispersondoesnotexist was manually vetted by our editorial team and was first featured on November 18th 2022.

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463 alternatives to Thispersondoesnotexist for Image generation

Most impacted jobs

Pros and Cons

Pros

Generates realistic human images

Uses StyleGAN2 technology

Generates images of cats

Generates images of horses

Generates images of chemicals

Allows training own GAN

Can dream up any image

Useful for research applications

Useful for art applications

Contribution by Nvidia

Developed by renowned scientists

Able to generate diverse images

Maintains high image quality

Creates images from text prompts

Open-source code available

Additional resources for learning

Extensive generation categories

Different code versions available

Generates hypothetical artistic images

Active developer involvement

Supported by several sponsors

Cons

Limited to specific categories

No control over results

Generates images individually

Requires high computational power

No real-time generation

Training code complex

No built-in API

Limited customization options

Q&A

What is 'This Person Does Not Exist'?

This Person Does Not Exist is a tool developed by Tero Karras and Nvidia. It uses a generative adversarial network (GAN), specifically StyleGAN2, to generate realistic human images.

How does 'This Person Does Not Exist' generate images?

This Person Does Not Exist generates images using a generative adversarial network (GAN) called StyleGAN2. It's a type of GAN that combines traditional convolutional neural networks and generative networks to produce high-quality images from random noise.

What is a generative adversarial network?

A generative adversarial network (GAN) is a class of machine learning systems invented by Ian Goodfellow and his colleagues in 2014. Two neural networks contest with each other in a game (in the sense of game theory, often but not always in the form of a zero-sum game). Given a training set, this technique learns to generate new data with the same statistics as the training set.

What is the role of StyleGAN2 in 'This Person Does Not Exist'?

StyleGAN2 plays a pivotal role in This Person Does Not Exist as it's the core technology utilised for the generation of images. The convolutional neural network structure of StyleGAN2 allows for the generation of exceptionally realistic images.

Who developed 'This Person Does Not Exist'?

This Person Does Not Exist was developed by Tero Karras and his team at Nvidia.

Can I train my own GAN using 'This Person Does Not Exist'?

Yes, you can train your own GAN using the code of This Person Does Not Exist. The code can be found on GitHub to make your own version of StyleGAN2.

What types of images can 'This Person Does Not Exist' generate?

This Person Does Not Exist can generate a variety of images including not only realistic human faces, but also images of cats, horses and even chemicals.

Can 'This Person Does Not Exist' be used to generate images of cats and horses?

Yes, This Person Does Not Exist can indeed be used to generate realistic images of cats and horses, alongside the primary function of creating human images.

Can 'This Person Does Not Exist' be used for creating art?

Yes, This Person Does Not Exist can be used for creating art. The high-quality, realistic images it generates can be used in digital art projects and similar creative endeavors.

What are some practical applications of 'This Person Does Not Exist'?

This Person Does Not Exist has a wide range of practical applications. These include but are not limited to: generating realistic images for research, improving computer vision training sets, creating artwork, and in any setting where the need for images that don't infringe any copyright could arise.

How does 'This Person Does Not Exist' combine traditional convolutional neural networks and generative networks?

This Person Does Not Exist combines traditional convolutional neural networks and generative networks through StyleGAN2. The traditional convolutional neural network works as the discriminator while the generative network works as the generator in the GAN architecture.

Is the code for 'This Person Does Not Exist' available for use?

Yes, the code for This Person Does Not Exist is available for use. It can be accessed on GitHub, allowing people to train their own GANs.

How can 'This Person Does Not Exist' be used for research purposes?

This Person Does Not Exist can be used in research that requires a large number of unique faces or presumably large sets of data of other images (cats, horses, art, etc.). Its ability to generate unique and non-repeating images on-demand provides a handy tool for scientists and researchers.

What is the process to generate an image using 'This Person Does Not Exist'?

To generate an image using This Person Does Not Exist, the system leverages the power of StyleGAN2 to produce a unique face from scratch. This includes traits such as shape of face, hair color, eyes, and other facial features.

Does 'This Person Does Not Exist' only create images of humans?

No, This Person Does Not Exist can create more than just human images. It's capable of generating realistic images of cats, horses, and chemicals as well.

Can 'This Person Does Not Exist' generate images of chemicals?

Yes, This Person Does Not Exist can generate images of chemicals as well as humans, cats and horses.

Is there a tutorial or guide on how to use 'This Person Does Not Exist'?

Links to video tutorials on how the technology works are available on the website of This Person Does Not Exist for those wishing to understand the in-depth working of the system.

Is 'This Person Does Not Exist' associated with Nvidia?

Yes, This Person Does Not Exist is associated with Nvidia. It was developed by Tero Karras and his team at Nvidia.

Has the technology behind 'This Person Does Not Exist' been updated since its release?

Though there might have been internal updates and enhancements, as per the website, the last known significant technological update was the adoption of StyleGAN2 in December 2019.

Why would one use 'This Person Does Not Exist' instead of traditional image generation methods?

One might use This Person Does Not Exist instead of traditional image generation methods because it can generate unique, realistic images on-demand, making it perfect for tasks that require many unique images. Additionally, the quality of images generated by This Person Does Not Exist is typically higher than those created with traditional methods.