ChatAnyone - A real-time stylized portrait video generation framework launched by Alitongyi
ChatAnyone is a real-time stylized portrait video generation framework developed by Alibaba Tongyi Labs. It generates portrait videos with rich facial expressions and upper body movements from audio input. It employs an efficient hierarchical motion diffusion model and...
What is ChatAnyone?
ChatAnyone is a real-time stylized portrait video generation framework developed by Alibaba Tongyi Labs. It generates portrait videos with rich facial expressions and upper body movements based on audio input. Employing an efficient hierarchical motion diffusion model and a hybrid control fusion generation model, it achieves high-fidelity and natural-looking video generation, supports real-time interaction, and is suitable for numerous scenarios such as virtual anchors, video conferencing, content creation, education, customer service, marketing, social entertainment, and healthcare. ChatAnyone supports stylized control, allowing users to adjust facial expressions according to needs and achieve personalized animation generation.
ChatAnyone's main functions
- Audio-driven portrait video generationIt generates portrait videos with rich expressions and upper body movements through audio input, realizing high-fidelity animation generation from "talking head" to upper body interaction, and supports diverse facial expressions and style control.
- High fidelity and naturalnessThe generated portrait videos feature rich expressions and natural upper body movements.
- Real-timeIt supports real-time interaction and is suitable for application scenarios such as video chat.
- Stylistic controlIt can adjust the expression style according to needs to achieve personalized animation generation.
ChatAnyone's technical principles
- Highly efficient hierarchical motion diffusion modelInput audio signal, output facial and body control signals, considering both explicit and implicit motion signals. Generate diverse facial expressions, achieving synchronization between head and body movements. Supports expression changes of varying intensities, as well as the transfer of stylized expressions from reference videos.
- Hybrid control fusion generative modelBy combining explicit landmarks and implicit offsets, realistic facial expressions are generated. Explicit hand control signals are injected to generate more accurate and realistic hand movements. A facial optimization module enhances facial realism, ensuring that the generated portrait videos are highly expressive and lifelike.
- Scalable real-time generation frameworkSupports everything from head-driven animation to upper-body generation including gestures. Real-time generation of upper-body portrait videos at up to 512×768 resolution and 30fps on a 4090 GPU.
ChatAnyone's project address
- Project official website:https://humanaigc.github.io/chat-anyone/
- Github repository:https://github.com/HumanAIGC/chat-anyone
- arXiv technical paper:https://arxiv.org/pdf/2503.21144
ChatAnyone application scenarios
- Virtual anchors and video conferencingVirtual avatars used in news broadcasts, live-streaming e-commerce, and video conferencing.
- Content creation and entertainmentGenerate stylized animated characters, virtual concerts, AI podcasts, etc.
- Education and TrainingGenerate virtual teacher avatars and virtual characters in training simulations.
- Customer ServiceGenerate virtual customer service avatars to provide vivid answers and interactive features.
- Marketing and AdvertisingGenerates virtual spokesperson avatars and highly interactive advertising content.