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2. StyleGAN - Wikipedia

   en.wikipedia.org/wiki/StyleGAN

   The second version of StyleGAN, called StyleGAN2, was published on February 5, 2020. It removes some of the characteristic artifacts and improves the image quality. [6] [7] In 2021, a third version was released, improving consistency between fine and coarse details in the generator. Dubbed "alias-free", this version was implemented with pytorch ...

3. Human image synthesis - Wikipedia

   en.wikipedia.org/wiki/Human_image_synthesis

   [36] [34] Some facial-recognition AI use images generated by other AI as synthetic data for training. [ 37 ] Furthermore, some research suggests that it can have therapeutic effects as " psychologists and counselors have also begun using avatars to deliver therapy to clients who have phobias , a history of trauma , addictions, Asperger’s ...

4. DALL-E - Wikipedia

   en.wikipedia.org/wiki/DALL-E

   DALL-E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 [5] modified to generate images.. On 6 April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles". [6]

5. AI-generated faces now look more real than ever. Can ... - AOL

   www.aol.com/ai-generated-faces-now-look...

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6. Wikipedia:WikiProject AI Cleanup/AI images in non-AI contexts

   en.wikipedia.org/.../AI_images_in_non-AI_contexts

   This is a list of disclosed AI generated images that are used in Wikipedia articles, for purposes other than explaining or demonstrating AI. These uses might need to be reviewed to make sure they are appropriate. No on-wiki discussion or consensus has determined to what extent AI images are acceptable, except in the context of upscaling ...

7. Deepfake - Wikipedia

   en.wikipedia.org/wiki/Deepfake

   The generator creates new images from the latent representation of the source material, while the discriminator attempts to determine whether or not the image is generated. [ citation needed ] This causes the generator to create images that mimic reality extremely well as any defects would be caught by the discriminator. [ 65 ]