2 مستودعات
Adjusting facial landmarks and motion scales to map expressions between different human or non-human identities.
Distinct from Animation Retargeting: Specifically targets facial landmarks and expressions rather than full-body skeletal rigs
Explore 2 awesome GitHub repositories matching graphics & multimedia · Facial Motion Retargeting. Refine with filters or upvote what's useful.
LivePortrait is a deep learning framework for portrait animation that transfers facial expressions from a driving video to a static image. It functions as an AI motion retargeting tool, mapping movements between different identities while preserving the unique features of the source portrait. The system includes specialized capabilities for cross-species portrait animation, adapting human-centric models to non-human subjects and animals. It also features a motion template generator that converts driving videos into portable files to accelerate inference and protect the identity of the origina
Implements precise mapping of facial expressions from a driving video to a target portrait while preserving identity.
EchoMimic is an audio-driven portrait animation framework and latent diffusion video generator. It transforms static reference images into dynamic talking head videos by synchronizing facial movements with audio tracks and motion drivers. The system functions as a hybrid motion synthesis engine that combines audio inputs and pose data. It utilizes a facial landmark motion controller to edit positioning markers, enabling precise synchronization and video-to-video pose transfer. The pipeline covers image-to-video animation through latent diffusion and facial landmark conditioning. This allows
Controls facial motion by adjusting landmarks to map expressions between a driver and a target.