'NYC Flow' combines cutting edge computing power and a PhD-level algorithm with beautiful painting and haunting slow-motion scenes to create a unique piece of art. The NYC Flow video was created by digital artist Danil Krivoruchko in collaboration with Manuel Ruder and a team from the University of Freiburg in Germany. The clip shows several shots of average scenes from in and around Manhattan but colors them in a style that makes it look like a moving watercolor painting.
Turning live images into painting is nothing new, as the Prisma app allows users to add the effect to their iPhone photos, however the app does not yet support video. NYC Flow's algorithm is able to take as input any painting's style, be it graffiti or, as is the case here, dreamy Impressionism, and apply that to every frame of a video. The result is a moving image that could very well represent a brand new genre of art: the moving painting.
Artificially Painted City Videos
'NYC Flow' Uses a Neural Network Algorithm to Paint a Scene
Trend Themes
1. Neural Network Algorithm - Opportunity for developing advanced algorithms that can transform live videos into different artistic styles.
2. Moving Painting - Disruptive innovation opportunity to create a new genre of art that combines the aesthetics of painting with the fluidity of video.
3. Real-time Artistic Effects - Growing trend of applying real-time artistic effects to videos, unlocking creative possibilities for digital artists.
Industry Implications
1. Digital Art - Artificially painted videos present innovate opportunities for digital artists to create unique and immersive experiences.
2. Streaming Platforms - Integration of real-time artistic effects into video streaming platforms can offer viewers a new way to experience visual content.
3. Virtual Reality - Utilizing neural network algorithms to transform live videos into painting-like experiences can enhance virtual reality environments, creating immersive and captivating worlds.