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The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Learning Lip Sync of Obama from Speech Audio
Trained deep neural-net models for estimating articulatory keypoints from midsagittal ultrasound tongue videos and front-view lip camera videos using DeepLabCut. This research is by Wrench, A. and Balch-Tomes, J. (2022) (https://www.mdpi.com/1424-8220/22/3/1133) (https://doi.org/10.3390/s22031133).
JPPNet implementation in TensorFlow for human parsing
The Loki Improvement Proposal repository
A simple Unity C# script that will drive a lower jaw based on audio amplitude from an audio clip. It uses a low pass filter to smooth the output. A custom SLATE action is included called "PlayAudioWithLipSync" use it in Slate to drive the jaw in your cutscenes.
Caffe implementation of LIP-SSL
SyncNet based on Meta's Perception Encoder Audio-Visual (PE-AV)
Logica de Programação com Portugol, usando Ext para VSCode + Fluxograma com conversão de logica de saida para C.
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