For AI that generates images based on user-specified parameters or trained datasets, capturing serendipitous moments or understanding and expressing deep human emotions remains a challenge and is not inherently natural.
On the other hand, the evolution of image generation AI, which enables advanced editing and compositing, is expected to bring new creative possibilities and enhance the value of photography as a medium that captures everyday serendipity.
What is Image Generation AI Creating New Possibilities?
Image generation AI refers to AI tools that automatically generate images or illustrations in response to user input prompts. Broadly, these can be divided into the following two categories.
Image to Image
This AI technology generates new images by reconstructing existing images as input data in different styles or contexts. During the generation process, deep learning models interpret the content of the image and regenerate it according to the specified new style or format.
Applications are diverse, including style transfer for artworks, enhancement of photographic quality, and reinterpretation of real-world scenes. Notable services include the 'Neural Filters' in and 'Deep Art Effects,' which specializes in style transfer.
Text to Image
This AI technology generates new images from textual descriptions as input data. The generation process combines natural language processing (NLP) with image generation algorithms to create visuals that embody the scenes, objects, or atmospheres described in text.
It accommodates a wide range of textual prompts, from concrete instructions to abstract concepts, and is used for generating realistic images and artworks. Leading services include 'DALL·E' by , 'Imagen' by , and 'BigGAN' by , all of which are expected to have applications in creative expression, game asset production, educational materials, and more.
Image by Mori
Applications of Image to Image
Image to Image technology holds the potential to drive innovation that combines creativity and practicality, particularly in the field of digital photography. In this magazine feature, we introduce concrete use cases and the benefits of this technology.
Fusion of Photography and Design
By leveraging Image to Image technology, creators can reinterpret their own photographs in new styles. It also enables easy compositing of multiple works, cropping, adding text, and other design tasks with simplicity.
Restoration and Enhancement of Photographs
This technology is also applied to the restoration of old or damaged photographs. Image generation AI can recognize damaged areas and interpret the entire image to restore it naturally.
Additionally, it can be used to improve image quality, such as increasing resolution or removing noise.
The applications and possibilities of Image to Image technology are virtually limitless, and despite its creative potential, it is remarkably easy to use. It will undoubtedly broaden the scope of expression in the daily creative practices of artists and photographers.
Currently, a photo contest themed around 'Serendipity (unexpected moments and discoveries)' is being held. The beauty of serendipitous moments and the creativity born from unexpected discoveries in everyday life, as well as the beauty and discoveries that emerge from creating new works using Image to Image technology, all embody serendipity.
Take this opportunity to explore Image to Image and consider submitting your work to the photo contest.
cover image by junya
