How will the Open AI products DALL.E and DALL.E 2 change the face of Augmented Reality?

5 min readMar 2, 2023

Businesses are keeping an eye on augmented reality (AR) and virtual reality (VR), highly promising technologies. In fact, according to almost 75 percent of industry giants, these immersive technologies will become mainstream within the next five years (Soderquist, n.d.) and Goldman Sachs projects that the AR/VR market will be worth $95 billion by 2025 (Sachs, n.d.). AI and machine learning are also operating concurrently; not only are they swiftly gaining popularity, but they are also now viewed as mission-critical for the contemporary industry.

The potential advantages of merging AR/VR and AI have only recently begun to be understood by the IT community. Combining the two can spur creativity, new client experiences, and innovative methods of interacting with the outside world. However, the success of this relationship depends on high-quality data. In this blog, we will briefly define Augmented Reality, Open AI products, and how they will benefit Augmented Reality in the upcoming years.

What is Augmented Reality?

The AR/VR industry has historically used non-AI-driven methods like computer vision to accelerate innovation. However, a lot of firms are starting to realize how closely connected and relevant these technologies are to AI. So, we can define augmented reality as:

A combination of the physical and digital worlds; describes a system in which data is superimposed over the physical world using a fusion of sensor data from cameras, accelerometers, etc. A well-known application for this is Pokémon Go (Company, n.d.).

AI is excellent at several tasks that are useful for AR/VR, including object tracking (Daly, n.d.), building detailed models of the 3D world, comprehending the properties of these models, and drawing conclusions about them. As they can recognize vertical and horizontal planes, track an item’s movements, and position, and estimate object depths, among other AR/VR synchronizations, deep learning AI models are very helpful in this situation. In other words, deep learning models can aid an AR/VR system’s ability to perceive challenging settings.

What are Open AI Products- DALL.E and Dall.E2?

The gradual evolution of GPT-3, DALL-E and DALL-E 2 (Aditya Ramesh, n.d.), parse text inputs and answer with images rather than words. The key characteristics (deloitte, n.d.) of these Open AI products include the following:

● DALLE 2 can generate creative, realism-based artwork from text descriptions. It can mix ideas, traits, and fashions.

● It can create expansive new compositions by expanding images beyond the boundaries of the original canvas.

● This tool can use a natural language caption to make realistic modifications to existing photographs. While accounting for textures, reflections, and shadows, it can add and remove objects.

● This Open AI tool has developed an understanding of the connection between descriptions of images in text and vice versa. It uses a method called “diffusion,” which starts with a pattern of randomly placed dots and gradually turns that pattern into an image as it concentrates on certain features of the image.

In the next section, we will discuss the factors by which augmented reality can be empowered through open AI products.

How will open AI products change the face of Augmented Reality?

The strength of DALLE is its capability to comprehend natural language, grasp the idea of relation and reference in human comprehension, and then produce pictures that may be photorealistic, paintings, or emojis. DALLE demonstrated several intelligence traits that even its designers at Open AI were taken aback by. One of the most intriguing aspects is DALLE’s acquisition of visual reasoning abilities, which are allegedly necessary to solve Raven’s Matrices (Bastian, n.d.). Following is some of the factors through which Open AI products DALL-E and DALL-E.2 will empower the domain of Augmented Reality.

1. Augmented Reality Filters:

DALL-E is being used by artists to make augmented reality filters for social media platforms. It is being used by a Miami-based chef to generate fresh suggestions for dish plating. On how DALL-E could be utilized to build incredibly affordable landscapes and things in the metaverse, Ben Thompson produced a foresighted article.

2. 3D Modelling:

Open AI solutions can improve AR/VR experiences by applying more realistic models and enhancing user interaction with the environments. This effective collaboration between AR/VR and AI is made possible in part by breakthroughs in deep learning that apply to the creation of 3D models (80lv, n.d.), an increase in the accessibility of data and data storage alternatives like the cloud, and an increase in computer capacity. Whatever the motivation, the merger is predicted to bring about exciting new opportunities for a variety of businesses. With a little further development, DALLE might be used to create more immersive experiences, synthetic videos on demand, or even storyboards.

3. AR Video Gaming Environment:

DALL-E 2 would also be able to take part in the pre-production stage of the creative process by offering suggestions for character design or by giving the team responsible for creating the level’s concept art. Artificial intelligence might significantly streamline the production procedures associated with the development of a video game (SportsGaming.win, n.d.), reduce the frequency of crunch times, and improve the working conditions for all studio personnel while never replacing any of them. Moreover, the pictures generated by open AI products such as DALL-E and DALL-E 2 can be used to create characters for video games in AR environments.

4. Generation of environment resembling Human Intelligence:

The utilization of creativity by DALLE, which bears an amazing likeness to human imagination and creativity, enables it to logically mix concepts. Other important characteristics include the ability to deduce pertinent contextual information and its comprehension of visual and design trends, which enables it to produce images that are suited for historical periods. All DALLE’s accomplishments represent a development in the direction of generic artificial intelligence.

Conclusion:

DALLE provides a lot of promise for varied applications. It has shown quite a few clever traits that appear to be edging ever closer to both broad artificial intelligence and human imagination and creativity. In conclusion, DALLE is a significant step toward the creation of general artificial intelligence, and once Open AI has considered its potential for bias and the ethical issues it raises, it may show to be highly beneficial.