# Audio-Driven

JoyGen is an innovative audio-driven 3D depth-aware talking-face video generation technology. It addresses the issues of lip-sync discrepancies and poor visual quality in traditional techniques through audio-driven lip motion generation and visual appearance synthesis. This technology performs exceptionally well in multilingual environments, especially optimized for the Chinese language context. Its main advantages include high lip-sync accuracy, high-quality visual effects, and multilingual support. This technology is applicable to fields such as video editing, virtual avatars, and animation production, with broad application prospects.

INFP is an audio-driven interactive head generation framework specifically designed for two-person dialogues. It dynamically synthesizes speech, non-verbal expressions, and interactive avatar videos with realistic facial expressions and rhythmic head movements based on dual-track audio of a conversation and a single portrait image of any chosen avatar. This lightweight yet powerful framework is suitable for instant communication scenarios like video conferencing. INFP stands for Interactive, Natural, Fast, and Person-generic.

MEMO is an advanced open-weight model designed for audio-driven talking video generation. By utilizing a memory-guided temporal module and emotion-aware audio module, it enhances long-term identity consistency and motion smoothness, while refining facial expressions based on the emotions detected in the audio. The primary advantages of MEMO include more realistic video generation, improved audio-lip sync, identity consistency, and emotional expression alignment. Technical background information shows that MEMO generates more authentic talking videos across various image and audio types, surpassing existing state-of-the-art methods.

EchoMimicV2 is an upper-body animation technology developed by the Ant Group's Terminal Technology Department at Alipay. It generates high-quality animated videos by leveraging reference images, audio clips, and a series of gestures to ensure the coherence between audio content and upper-body motions. This technology simplifies the previously complex animation production process through an Audio-Pose dynamic coordination strategy, enhancing the expressiveness of upper-body details, facial features, and gestures while reducing conditional redundancy. Additionally, it seamlessly integrates avatar data into the training framework using a head-part attention mechanism, which can be omitted during inference, thereby facilitating the animation production process. EchoMimicV2 also features a specific-stage denoising loss designed to guide motion, detail, and low-level quality of the animation at specific stages. This technology has surpassed existing methods in both quantitative and qualitative assessments, demonstrating its leading position in the field of upper-body human animation.

JoyVASA is an audio-driven character animation technique based on diffusion models that generates facial dynamics and head movements by separating dynamic facial expressions from static 3D facial representations. This technology enhances video quality and lip-sync accuracy, expands into animal facial animation, supports multiple languages, and improves training and inference efficiency. Key advantages of JoyVASA include the ability to generate longer videos, motion sequence generation independent of character identity, and high-quality animation rendering.

CyberHost is an end-to-end audio-driven human animation framework that employs a region codebook attention mechanism to generate complete hand integrity, identity consistency, and natural movement. The model utilizes a dual U-Net architecture as its foundational structure and implements motion frame strategies for temporal continuity, establishing a baseline for audio-driven human animation. CyberHost enhances the quality of synthesized results through a series of human-centered training strategies, including body movement maps, hand clarity scoring, reference features for pose alignment, and local enhancement supervision. It is the first audio-driven human diffusion model capable of zero-shot video generation within the human domain.

EchoMimic is an advanced face image animation model capable of generating realistic facial videos driven by audio and selected facial keypoints, either individually or in combination. Through innovative training strategies, it addresses the instability potentially encountered in traditional audio-driven methods and the unnatural results that may arise from keypoint-driven approaches. EchoMimic has been comprehensively evaluated on multiple public and self-collected datasets, demonstrating superior performance in both quantitative and qualitative assessments.