ByteDance's OmniHuman redefines AI video creation with lifelike animations and gestures from a single 2D image. Its potential for deepfakes is

A technical paper (reviewed by the South China Morning Post) highlights that OmniHuman-1 specialises in generating videos of individuals speaking, singing, and moving. The research team behind the model claims that its performance surpasses existing AI tools that generate human videos based on audio.

In a black and white video, OmniHuman-1 shows the known scientist Albert Einstein talking in front of a blackboard performing hand gestures and showing facial expressions. ByteDance says it trained the new tool on more than 18,700 hours of human videos, combining it with various types of inputs like text, audio and physical poses.

ByteDance has demoed a model that its researchers says creates realistic full-body deepfakes from a single image.

TikTok parent company ByteDance unveils OmniHuman, an AI system that can generate realistic videos of people from just one picture.

ByteDance, the tech giant behind TikTok, has introduced an artificial intelligence (AI) model that is gaining widespread attention for its ability to transform photos and sound bites into realistic videos,

Generative AI models for videos are among the best examples to appreciate this. In line with this, a new launch by a very popular company promises to make deepfake videos 10x better. ByteDance, does that name ring a bell?

ByteDance has come up with a generative AI framework that can create highly realistic videos of a human based on a single image and motion signal.