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An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
The technology behind Sora is an adaptation of the technology behind DALL-E 3. According to OpenAI, Sora is a diffusion transformer [10] – a denoising latent diffusion model with one Transformer as the denoiser. A video is generated in latent space by denoising 3D "patches", then transformed to standard space by a video decompressor.
Using deepfake technology in his music video for his 2022 single, "The Heart Part 5", musician Kendrick Lamar transformed into figures resembling Nipsey Hussle, O.J. Simpson, and Kanye West, among others. [277] The deepfake technology in the video was created by Deep Voodoo, a studio led by Trey Parker and Matt Stone, who created South Park. [277]
Reverse image search using Google Images. Reverse image search is a content-based image retrieval (CBIR) query technique that involves providing the CBIR system with a sample image that it will then base its search upon; in terms of information retrieval, the sample image is very useful.
As of August 2023, more than 15 billion images had been generated using text-to-image algorithms, with 80% of these created by models based on Stable Diffusion. [ 184 ] If AI-generated content is included in new data crawls from the Internet for additional training of AI models, defects in the resulting models may occur. [ 185 ]
Midjourney is a generative artificial intelligence program and service created and hosted by the San Francisco-based independent research lab Midjourney, Inc. Midjourney generates images from natural language descriptions, called prompts, similar to OpenAI's DALL-E and Stability AI's Stable Diffusion.
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The hashing method initially relied on converting images into a black-and-white format, dividing them into squares, and quantifying the shading of the squares, [5] did not employ facial recognition technology, nor could it identify a person or object in the image.