Discover a groundbreaking video-driven portrait animation framework in this 10-minute presentation by the Fellowship.ai team. Explore "LivePortrait," an innovative approach that optimizes efficiency and control in portrait animation. Learn how this framework breaks away from mainstream diffusion-based methods by leveraging an implicit-keypoint-based system, striking an ideal balance between computational efficiency and controllability. Understand how the model enhances generation quality and generalization through scaled-up training data, mixed image-video training strategies, and refined network architecture. Delve into the advanced motion transformation, stitching, and retargeting modules that utilize a lightweight MLP, achieving remarkable generation speeds. Examine experimental results showcasing the framework's superior performance, even surpassing diffusion-based methods. Gain insights into this cutting-edge AI research that addresses diverse business challenges in computer vision and generative models. Read more