DALL·E 2 is the latest version of OpenAI’s neural network-based image generation system, which was introduced in January 2021. It is an improvement over the original DALL·E system, which was released in December 2020 and gained widespread attention for its ability to generate high-quality images from textual descriptions.
Like its predecessor, DALL·E 2 is based on a transformer network architecture and uses a combination of supervised and unsupervised learning to generate images. However, it has a number of important differences that make it more powerful and efficient than the original DALL·E. One of the key improvements in DALL·E 2 is its use of a new type of transformer called a “dense transformer,” which has a more efficient architecture and allows the network to process more information at once. This makes it possible for DALL·E 2 to generate higher-resolution images and to handle more complex descriptions.
Another important difference is that DALL·E 2 uses a new training method called “progressive growing,” which allows the network to gradually learn to generate more complex images as it is trained. This allows the network to learn more efficiently and to produce more realistic images.
One of the most impressive aspects of DALL·E 2 is its ability to generate images that are almost indistinguishable from real photographs. It can generate a wide range of images, including animals, landscapes, and objects, and it can even generate images of objects that do not exist in the real world.
Overall, DALL·E 2 is a major step forward in the field of image generation and has the potential to revolutionize the way we think about creating and manipulating images. It is an exciting development that will undoubtedly lead to many new and exciting applications in the future.