Jan 29, 2025 · TL;DR: We propose an end-to-end multimodality-conditioned human video generation framework named OmniHuman, which can generate human videos based on a single human image and motion signals (e.g., audio only, video only, or a combination of audio and video).In OmniHuman, we introduce a multimodality motion conditioning mixed training strategy, allowing the model to benefit from data scaling up ...

18 hours ago · ByteDance’s OmniHuman-1 is a groundbreaking AI model that can transform a single image into a realistic video of a person speaking or performing, synchronized perfectly with a given audio track.. You can feed the model one photo and an audio clip (like a speech or song), and OmniHuman-1 will generate a video where the person in the photo moves, gestures, and lip-syncs to the audio in an ...

2 days ago · ByteDance has introduced OmniHuman-1, an AI model that generates realistic human videos using a single image and motion signals. OmniHuman-1 uses a Diffusion Transformer (DiT) architecture and an omni-conditions training strategy to fuse multiple input types—audio, video, and pose—to create full-body human animations.

2 days ago · How OmniHuman-1 Works. OmniHuman-1 is built on 19,000 hours of video training data, allowing it to analyze a photo, process motion cues, and animate the subject with natural expressions, speech synchronization, and body movements.The AI breaks it down into two steps: Motion Processing – It compresses movement data from sources like audio and text prompts.

3 days ago · Conclusion. OmniHuman-1 represents a significant step forward in AI-driven human animation. By integrating omni-conditions training and leveraging a DiT-based architecture, ByteDance has developed a model that effectively bridges the gap between static image input and dynamic, lifelike video generation.Its capacity to animate human figures from a single image using audio, video, or both makes ...

1 day ago · With ByteDance increasing focus on AI innovation in 2024, OmniHuman-1 represents a major leap forward in AI-driven video generation. As this technology advances, it raises important questions about its implications — whether for creative storytelling, entertainment, or the growing concerns around deepfakes and digital identity.

1 day ago · TikTok owner ByteDance has unveiled OmniHuman-1, an AI system that can generate lifelike videos of people talking, gesturing, singing, playing instruments and more — all from a single photo ...

4 days ago · End-to-end human animation, such as audio-driven talking human generation, has undergone notable advancements in the recent few years. However, existing methods still struggle to scale up as large general video generation models, limiting their potential in real applications. In this paper, we propose OmniHuman, a Diffusion Transformer-based framework that scales up data by mixing motion ...

20 hours ago · This is a step up compared to other AI models, many of which can only change facial expressions or make humans speak. On the OmniHuman-1 page hosted on Beehiiv, researchers shared several sample videos showing how the tool performs with examples showing hand and body movements from multiple angles, and animals in motion.

1 day ago · From deepfakes to dynamic digital avatars . The technology behind OmniHuman-1 taps into the evolving realm of deepfakes, a domain often associated with controversies around misinformation and fraud.