Image-Manipulating Algorithms

Adobe's Generative Image Manipulation Makes Photo-Realistic Edits

Adobe Photoshop is the current go-to application for professional photographic editing, but Adobe's new generative image manipulation technology could revolutionize how people work with images in the future. In a paper entitled 'Generative Visual Manipulation on the Natural Image Manifold,' Adobe and researchers from the University of Berkeley developed a fantastically intuitive system for making photo-realistic image edits.

With the generative image manipulation tool, users can make realistic edits to an input image simply by drawing a few crude lines with a mouse. For instance, the researchers transformed a basic black rubber clog into a red suede running shoe by roughly coloring, sketching and warping the image of the clog and allowing the machine learning algorithm to interpret these markings into a realistic shape.
Trend Themes
1. Generative Image Manipulation - The development of Adobe's new generative image manipulation technology could lead to a revolution in how professionals edit photos.
2. Machine Learning Algorithms - The use of machine learning algorithms in image manipulation could transform the way photo editing is done in the future.
3. Intuitive Editing Systems - The development of intuitively designed editing systems has the potential to vastly streamline workflow for photo editors.
Industry Implications
1. Professional Photography - The ability to make photo-realistic edits with generative image manipulation technology could be a game-changer for professional photographers.
2. Graphic Design - Incorporating machine learning algorithms into graphic design software could lead to a whole new level of design possibilities.
3. Artificial Intelligence - The integration of machine learning and generative image manipulation represents a significant advancement in the field of artificial intelligence.

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