Disney Research and ETH Zurich introduced an algorithm for automatic face-swapping in photos and videos, which has a high enough resolution for filmmaking. It's the first deepfake method with a megapixel resolution, meaning it's convincing enough to alter faces for TV and movies, according to the researchers.
More:
The goal is to use the neural-network-based method to substitute actors' faces, such as in the de-aging process or when an actor has died.
Disney’s model can create deepfake videos with a 1024 x 1024 resolution, much higher than open-source model DeepFakeLab's 256 x 256 pixels.
It's less time-consuming and expensive than Disney's current method for face-swapping, traditional VFX, which was used to re-create Carrie Fisher in Rogue One.
TechCrunch's Darrell Etherington described the results as "a lot less nightmare fuel" than other deepfake attempts. He still noted that the subjects in the sample video were primarily white.