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moeka-project/docs/content/ko/references/research/lipsync.md
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## 인덱스
- [harlanhong/awesome-talking-head-generation](https://github.com/harlanhong/awesome-talking-head-generation?tab=readme-ov-file)
## 논문 & 프로젝트
- [taherfattahi/nvidia-human-ai-lipsync](https://github.com/taherfattahi/nvidia-human-ai-lipsync)
- [met4citizen/TalkingHead](https://github.com/met4citizen/TalkingHead)
- [zak-45/WLEDLipSync](https://github.com/zak-45/WLEDLipSync)
- [hecomi/uLipSync](https://github.com/hecomi/uLipSync)
- [DanielSWolf/rhubarb-lip-sync](https://github.com/DanielSWolf/rhubarb-lip-sync)
- [AnimaVR/NeuroSync_Player](https://github.com/AnimaVR/NeuroSync_Player)
- [saifhassan/Wav2Lip-HD](https://github.com/saifhassan/Wav2Lip-HD)
- [instant-high/wav2lip-onnx-HQ](https://github.com/instant-high/wav2lip-onnx-HQ)
- [DanielSWolf/rhubarb-lip-sync](https://github.com/DanielSWolf/rhubarb-lip-sync)
- [RealTalk: Real-time and Realistic Audio-driven Face Generation with 3D Facial Prior-guided Identity Alignment Network](https://huggingface.co/papers/2406.18284)
- [loopyavatar.github.io](https://loopyavatar.github.io/)
- [Rudrabha/Wav2Lip](https://github.com/Rudrabha/Wav2Lip)
- [audio2face-3d Model by NVIDIA | NVIDIA NIM](https://build.nvidia.com/nvidia/audio2face-3d)
- [2306.10799 SelfTalk: A Self-Supervised Commutative Training Diagram to Comprehend 3D Talking Faces](https://ar5iv.labs.arxiv.org/html/2306.10799?_immersive_translate_auto_translate=1)
- [anothermartz/Easy-Wav2Lip: Colab for making Wav2Lip high quality and easy to use](https://github.com/anothermartz/Easy-Wav2Lip)
- [OpenTalker/SadTalker](https://github.com/OpenTalker/SadTalker)
- [TMElyralab/MuseTalk](https://github.com/TMElyralab/MuseTalk)
## 관련 항목
- [JingLi513/Audio2Gestures](https://github.com/JingLi513/Audio2Gestures)
- [Digital Humans | Reply](https://www.reply.com/en/metaverse/digital-humans)