Dazzling photography takes skill with a camera and a fine touch with photo-editing software, but Adobe and Cornell University have made it a lot easier for amateur photographers to achieve the style of professionals with 'Deep Photo Style Transfer.' The machine learning algorithm is able to take the stylistic qualities from any photograph and transfer them to another, giving total photography novices the chance to look like Ansel Adams or Cindy Sherman.
Though Deep Photo Style Transfer isn't available as a consumer app just yet, it's reminiscent of the popular app Prisma. However, Prisma edits and adjusts photos to look like paintings — an intentionally unrealistic effect. Deep Photo Style Transfer, on the other hand, is designed to make its changes far less obvious or immediately perceptible, giving photographers the an extra tool to abet bragging about their skills.
Stylistic Photography Algorithms
Adobe and Cornell's 'Deep Photo Style Transfer' Mimics Images
Trend Themes
1. Stylistic Photo Editing Algorithms - Deep Photo Style Transfer allows amateur photographers to easily mimic professional styles using machine learning algorithms.
2. Simplifying Photography for Amateurs - Deep Photo Style Transfer makes it easier for novice photographers to achieve professional-looking photos.
3. Subtle Photo Style Transfers - Deep Photo Style Transfer makes changes to photos that are less obvious, allowing photographers to enhance their skills without being too obvious.
Industry Implications
1. Photography - The photography industry can benefit from Deep Photo Style Transfer by offering editing tools that are accessible to amateur photographers.
2. Software Development - Software developers can explore the development of similar algorithms for creating artistic effects in photos.
3. Art and Design - Artists and designers can use Deep Photo Style Transfer as a source of inspiration for creating unique and stylized images.