ByteDance demoed an AI model designed to generate lifelike deepfake videos from one image.ByteDance released test deepfake videos of TED Talks and a talking Albert Einstein.Tech firms including Google and Meta are working on tools to better detect deepfakes.

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?

Discover ByteDance's new AI technology, OmniHuman-1, which turns photos and audio clips into lifelike videos with accurate facial expressions and movements. Learn how this technology is shaping

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.

This AI framework is designed to generate lifelike human motion and speech from minimal input-just an image and an audio sample-solving a key challenge in AI-driven video creation

The technology behind OmniHuman-1 taps into the evolving realm of deepfakes, a domain often associated with controversies around misinformation and fraud.c

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.

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