‘South Park’ Creators’ AI Company Made The Rolling Stones Young Again for “In The Stars” Music Video - The Hollywood Reporter
Summary
The Rolling Stones' new music video for "In the Stars" features digitally de-aged versions of Mick Jagger, Keith Richards, and Ronnie Wood, making them appear as they did in the 1970s. This effect was achieved using deepfake technology developed by Deep Voodoo, an AI company founded by *South Park* creators Trey Parker and Matt Stone. The François Rousselet-directed video includes actress Odessa A'zion, who interacts with the de-aged band members. Deep Voodoo has previously applied similar technology in Kendrick Lamar's "The Heart Part 5" video and de-aged Billy Joel for his 2024 song "Turn the Lights Back On." The "In the Stars" video is part of the rollout for the Rolling Stones' 25th album, *Foreign Tongues*, which is scheduled for release on July 10.
Key takeaway
For Computer Vision Engineers developing visual effects for entertainment, Deep Voodoo's work on the Rolling Stones' "In the Stars" video demonstrates the advanced capabilities of deepfake technology for de-aging and historical recreation. You should investigate their methods for AI data wrangling and deepfake artistry to enhance your own projects requiring realistic digital age manipulation, especially for high-profile talent.
Key insights
Deep Voodoo's AI technology effectively de-ages musicians for music videos, creating convincing historical likenesses.
Principles
- Deepfake technology can replicate past appearances.
- AI data wrangling is crucial for deepfake quality.
Method
The deepfake process involves AI data wrangling and specialized deepfake artists, potentially utilizing body doubles for source material to achieve a near-perfect replica of past appearances.
In practice
- Consider deepfake for historical visual recreation.
- Utilize AI data wranglers for visual effects.
- Explore deepfake for celebrity endorsement campaigns.
Topics
- Deep Voodoo
- AI De-aging Technology
- Rolling Stones
- Music Videos
- Deepfakes
Best for: Computer Vision Engineer, Creative Technologist, Tech Journalist, General Interest
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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.