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EmoGen
sahilg06/EmoGen
PyTorch Implementation for Paper "Emotionally Enhanced Talking Face Generation" (ICCVW'23 and ACM-MMW'23)
★378stars
Python
CC0-1.0
Updated: 6d ago
📋 Project at a Glance
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What's this?A audio-driven-talking-face/deepfakes tool in the Models category, built with Python, open-source
Who made it?Maintained by sahilg06 team, 378⭐ on GitHub, #1988 out of 3201 in Models
Why does it exist?The sahilg06 team recognized that existing audio-driven-talking-face tools in Models were hard to use. EmoGen was designed to make deepfakes more accessible.
What can it do?Key use cases: emotion, emotion-recognition, face-reenactment
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/sahilg06/EmoGen
🔗 github.com/sahilg06/EmoGen
Topics
audio-driven-talking-facedeepfakesemotionemotion-recognitionface-reenactmentlip-syncmultimodalpytorchtalking-face-generationwav2lip