In partnership with Google Cloud, the watermarking and identification application SynthID has just made its beta version available. Invisible to the unaided eye, this technology embeds a digital watermark at the pixel level onto an image for verification.
A select group of Vertex AI clients are receiving SynthID thanks to Imagen, one of the most recent text-to-image models. When given words, Imagen creates a photorealistic image.
It is becoming more difficult to distinguish between computer-generated photos, sometimes known as “synthetic imagery,” and pictures that weren’t created by an AI system as generative AI technologies advance quickly. Although generative AI can unleash a lot of creative potential, it also introduces new dangers, such as enabling humans to purposefully or unintentionally propagate false information. To know when they are dealing with AI-generated content and to assist in halting the spread of incorrect information, people need to be able to identify it.
Cloud by Google
The first company to provide a method for securely creating and recognizing AI-generated images is Google Cloud. This technology, created by Google DeepMind and improved with the help of Google Research, is based on the methodology for developing and using responsible AI.
Although SynthID is not immune to severe picture manipulation, it offers a practical technical approach for enabling individuals and organizations to use AI-generated content ethically. Other than images, this tool may develop to include AI models and modalities including voice, video, and text.
Watermarks
Watermarks are patterns that can be applied to photos to help identify them. From tangible impressions on paper to the clear language and symbols used in modern digital images, they have evolved. Because traditional watermarks are commonly applied as a stamp on a picture and are simple to remove, they are insufficient for differentiating AI-generated images. For instance, simple editing methods can be used to remove discrete watermarks from the corner of an image.
It might be difficult to tell the difference between imperceptibility and resistance to picture modification. For artistic or commercial objectives, obvious watermarks—such as a name or brand over an image—cause aesthetic issues. Similar to this, some formerly created invisible watermarks can be eliminated using standard editing techniques like shrinking.
SynthID
The watermark may still be seen after adjustments such as adding filters, changing colors, and storing with different lossy compression methods, most commonly used for JPEGs, thanks to the creation of SynthID by the researchers.
A large number of images were used to train two deep-learning models used by SynthID, one for watermarking and the other for identification. The combined model is calibrated to accomplish several objectives, including accurately identifying watermarked content and improving imperceptibility by visually harmonizing the watermark with the original content.