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OSM-Net: One-to-Many One-shot Talking Head Generation with Spontaneous Head Motions
Other works construct one-to-one mapping between audio signal and head motion sequences, introducing ambiguity correspondences into the mapping since people can behave differently in head motions when speaking the same content.
MFR-Net: Multi-faceted Responsive Listening Head Generation via Denoising Diffusion Model
Responsive listening head generation is an important task that aims to model face-to-face communication scenarios by generating a listener head video given a speaker video and a listener head image.
FONT: Flow-guided One-shot Talking Head Generation with Natural Head Motions
Specifically, the head pose prediction module is designed to generate head pose sequences from the source face and driving audio.
OPT: One-shot Pose-Controllable Talking Head Generation
To solve the identity mismatch problem and achieve high-quality free pose control, we present One-shot Pose-controllable Talking head generation network (OPT).
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