LivePortrait

2024-07-05
LivePortrait is an innovative framework offering efficient portrait animation from still images with advanced features like stitching and eye/lip retargeting. Ideal for media production, social media content creation, and VR development.
LivePortrait
카테고리
AI 비디오 생성기AI 사진 향상 기술
이 도구의 사용자
Media production professionalsSocial media content creatorsVirtual reality developersAnimatorsAcademic researchers in computer vision and animation
가격
Free version with basic featuresSubscription model for advanced features and higher computational resources

LivePortrait 소개

LivePortrait is an advanced framework for portrait animation that transforms a single still image into a lifelike animated video. This technology leverages the implicit-keypoint-based framework to create a balance between computational efficiency and controllability. LivePortrait offers improved generalization, controllability, and efficiency compared to traditional diffusion-based methods. By expanding training data to approximately 69 million high-quality frames, adopting a mixed image-video training strategy, and upgrading network architecture, LivePortrait significantly enhances generation quality. Additionally, the introduction of stitching and retargeting modules allows for precise control over elements like eyes and lips. The system is optimized for performance, achieving impressive speeds of 12.8ms per frame on high-end GPUs. This makes LivePortrait ideal for practical applications in fields such as media production, social media, and virtual reality.

LivePortrait 주요 기능

  1. Real-time portrait animation from a single still image
  2. High-quality video generation using 69 million frames of training data
  3. Mixed image-video training strategy for better generalization
  4. Network architecture upgrades for improved performance
  5. Stitching module for enhanced visual consistency
  6. Eye and lip retargeting for precise control
  7. Support for various styles including realistic, oil painting, and 3D rendering
  8. Optimization for high-speed generation on GPUs
  9. Generalization to animal portraits after fine-tuning

LivePortrait 사용 사례

  1. A media production team uses LivePortrait to create lifelike animations for a historical documentary, transforming old photographs into animated sequences.
  2. A social media influencer employs LivePortrait to animate their selfies for engaging video content, using the eye and lip retargeting features to sync expressions with their voice-over.
  3. A virtual reality developer integrates LivePortrait to bring NPCs in a VR game to life, using the high-quality video generation and various styling options for more immersive experiences.
  4. An animator working on a children's show utilizes LivePortrait to generate character animations quickly, saving time and resources while ensuring visual consistency through the stitching module.
  5. Academic researchers in computer vision use LivePortrait for experiments in synthetic data generation, leveraging the mixed image-video training strategy for diverse and high-quality outputs.

LivePortrait 링크

  1. 문서: https://github.com/KwaiVGI/LivePortrait

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