Google researchers have developed a new artificial intelligence system that can generate lifelike videos of people speaking, gesturing and moving — from just a single still photo. The technology, called VLOGGER, relies on advanced machine learning models to synthesize startlingly realistic footage, opening up a range of potential applications while also raising concerns around deepfakes and misinformation. Described in a research paper titled “VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis,” the AI model can take a photo of a person and an audio clip as input, and then output a video that matches the audio, showing the person speaking the words and making corresponding facial expressions, head movements and hand gestures. The videos are not perfect, with some artifacts, but represent a significant leap in the ability to animate still images. The researchers, led by Enric Corona at Google Research, leveraged a type of machine learning model called diffusion models to achieve the novel result. Diffusion models have recently shown remarkable performance at generating highly realistic images from text descriptions. By extending them into the video domain and training on a vast new dataset, the team was able to create an AI system that can bring photos to life in a highly convincing way. “In contrast to previous work, our method does not require training for each person, does not rely on face detection and cropping, generates the complete image (not just the face or the lips), and considers a broad spectrum of scenarios (e.g. visible torso or diverse subject identities) that are critical to correctly synthesize humans who communicate,” the authors wrote.
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