Crystal TTVS engine is a real-time audio-visual Multilingual speech synthesizer with a 3D expressive avatar.
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Updated
Aug 17, 2020 - C++
Crystal TTVS engine is a real-time audio-visual Multilingual speech synthesizer with a 3D expressive avatar.
Code for ACCV 2020 "Speech2Video Synthesis with 3D Skeleton Regularization and Expressive Body Poses"
PyTorch implementation for NED (CVPR 2022). It can be used to manipulate the facial emotions of actors in videos based on emotion labels or reference styles.
AI Avatar/Anchor: create video from plain text or audio file in minutes, support up to 100+ languages and 350+ voice models.
Freeform Body Motion Generation from Speech
Animated Characters: create video from plain text or audio file in minutes, support up to 100+ languages and 350+ voice models.
AI Talking Head: create video from plain text or audio file in minutes, support up to 100+ languages and 350+ voice models.
Talking Avatar: create video from plain text or audio file in minutes, support up to 100+ languages and 350+ voice models.
The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.
ICASSP 2022: "Text2Video: text-driven talking-head video synthesis with phonetic dictionary".
Long-Inference, High Quality Synthetic Speaker (AI avatar/ AI presenter)
canvas-based talking head model using viseme data
canvas-based talking head model using viseme data
The pytorch implementation of our WACV23 paper "Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis".
The official code of our ICCV2023 work: Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation
Faster Talking Face Animation on Xeon CPU
Real-time 2D digital human Framework
Use one line code to call SadTalker API with modelscope
Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
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