Augmented reality (AR) blends digital stuff into the real world. Think of it like putting virtual layers over what you see through your phone or AR glasses.
In the context of AI image generation, AR can use AI to create or enhance those digital layers. For example, imagine pointing your phone at an empty wall, and AI generates a realistic-looking painting that fits perfectly in that space. Or trying on clothes virtually, where AI helps generate how the fabric looks and moves on you.
AI makes AR smarter. It helps the digital stuff look more real, and react to your environment better. It’s not just about slapping a 3D object on a screen—it’s about making it feel like it belongs there.
What is primary value of AR?
The primary value of AR lies in its ability to enrich natural environments by adding contextual, perceptual information that can be visual, auditory, or haptic. This makes AR useful across various industries such as gaming, healthcare, manufacturing, education, marketing, and public safety. For example, AR can assist in decision-making, product visualization, training, and entertainment by providing additional information or altering the appearance of real-world settings.
Source:
- https://www.investopedia.com/terms/a/augmented-reality.asp
- https://www.ansys.com/simulation-topics/what-is-augmented-reality
- https://universidadeuropea.com/en/blog/what-is-augmented-reality/
- https://www.investopedia.com/terms/a/augmented-reality.asp