OmniHuman by ByteDance
An advanced AI-driven human video generation model
Listed in categories:
AudioVideoArtificial Intelligence
Description
OmniHuman is an innovative end-to-end AI framework developed by ByteDance researchers that revolutionizes human video synthesis by generating hyper-realistic videos from just a single image and a motion signal like audio or video input. It is capable of processing portraits, half-body shots, or full-body images, delivering lifelike movements, natural gestures, and exceptional detail. This multimodality-conditioned model seamlessly integrates diverse inputs to create highly realistic video content, setting new standards for AI-generated visuals with far-reaching implications for industries like entertainment, media, and virtual reality.
How to use OmniHuman by ByteDance?
To use OmniHuman, start by inputting a single image of a person along with a motion signal such as an audio clip. The model processes this input using multimodality motion conditioning to generate a high-quality video that appears as if the person is genuinely singing, talking, or performing actions described by the motion signal.
Core features of OmniHuman by ByteDance:
1️⃣
Single Image to Video Generation
2️⃣
Multimodal Input Support
3️⃣
Natural Motion Synthesis
4️⃣
High Attention to Detail
5️⃣
Scalable Applications
Why could be used OmniHuman by ByteDance?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Creating realistic music videos with synchronized movements and expressions | ✅ | |
| # 2 | Generating talking avatars for virtual influencers and educational content | ✅ | |
| # 3 | Animating cartoons and animals with lifelike results | ✅ | |
Who developed OmniHuman by ByteDance?
OmniHuman is developed by ByteDance researchers, known for their innovative contributions to AI technology and multimedia applications.