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Found 3 papers, 3 papers with code
HyperLips: Hyper Control Lips with High Resolution Decoder for Talking Face Generation
First, FaceEncoder is used to obtain latent code by extracting features from the visual face information taken from the video source containing the face frame. Then, HyperConv, which weighting parameters are updated by HyperNet with the audio features as input, will modify the latent code to synchronize the lip movement with the audio.
NLUT: Neural-based 3D Lookup Tables for Video Photorealistic Style Transfer
However, existing methods obtain stylized video sequences by performing frame-by-frame photorealistic style transfer, which is inefficient and does not ensure the temporal consistency of the stylized video.
UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scene
Finally, we jointly optimize a hyper network to realize the scene photorealistic style transfer of arbitrary style images.
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