Image and Audio-Driven Video Generation

[UppuluriKalyani]

Project Title: Image and Audio-Driven Video Generation

Description:

This project focuses on creating a system that generates a realistic video from a single image and audio input. By feeding an image and corresponding audio (talking, singing, etc.), the system will animate the image, synchronizing lip movements and expressions with the audio. This project is useful for content creation, virtual avatars, and AI-driven media.

Key Features:

Generation of realistic videos from a single image and audio.

Synchronization of lip movements with the input audio.

Support for various image types (realistic, AIGC, anime, etc.).

Output driven video with facial expressions matching the audio.

Tasks:

• Create a model to process audio and map it to facial movements.

• Implement a system to drive lip-sync and expressions based on input audio.

• Support various image types for video generation (realistic, anime, etc.).

• Optimize for video realism and accurate synchronization.

Technology Stack:

Deep Learning (GANs / Autoencoders)

Python

PyTorch / TensorFlow

FFmpeg for video generation

Expected Output:

A system capable of generating a driven video from a single input image and an audio file with realistic lip-sync and facial expression generation.

[github-actions[bot]]

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. Your contributions are highly appreciated! 😊

[Charul00]

i liked it can you please assign to me

[UppuluriKalyani]

@Charul00 make it happen!