Talking-Face_PC-AVS

Visit Tool

Talking-Face_PC-AVS is an open-source video generation tool that enables pose-controllable talking face generation from audio. It uses an implicitly modularized audio-visual representation for free pose control.

Claim this tool

No Views Yet

At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is Talking-Face_PC-AVS?

Talking-Face_PC-AVS is an open-source code implementation for pose-controllable talking face generation, leveraging an Implicitly Modularized Audio-Visual Representation (CVPR 2021). This tool allows users to drive arbitrary talking faces with audio while maintaining free control over head pose. It achieves this by using a separate pose source video to compensate for head motions, devising an implicit low-dimension pose code free of mouth shape or identity information. This modularizes audio-visual representations into distinct spaces for speech content, head pose, and identity information. The project is available on GitHub and requires Python 3.6 and PyTorch 1.3.0, with basic requirements listed in `requirements.txt`.

Best used for

Ideal for content creators who need to generate realistic talking head videos, control facial poses precisely, and animate characters using audio. Especially valuable for researchers and developers looking to implement advanced audio-visual synthesis techniques in their projects.

Common actions

generate talking faces

control face pose

animate from audio

open-sourceworkflowsautomated workflowcollaborationdeepfakelow-code/no-codeface swapping"AI Agents"github copilot

Capabilities

Key features

Pose-controllable talking faces
Audio-driven animation
Modularized audio-visual representation
Implicit low-dimension pose code
Pre-trained checkpoints available

Target Audience

content creator

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the system requirements for running Talking-Face_PC-AVS?

To run Talking-Face_PC-AVS, you need Python 3.6 and PyTorch 1.3.0. Basic requirements are listed in the `requirements.txt` file, which can be installed using `pip install -r requirements.txt`. For video generation, ffmpeg version 4.0.0 or higher is required on Linux systems.

Can I use my own data with Talking-Face_PC-AVS?

Yes, you can use self-prepared data, but it requires pre-processing. The model handles VoxCeleb2-like cropped data, so face alignment is necessary. You can install `face-alignment` and use the provided scripts to process your video frames into the correct format.

Does Talking-Face_PC-AVS support training custom models?

Currently, the project does not support training your own models. The repository focuses on providing the code for inference and demonstration of the pose-controllable talking face generation using pre-trained checkpoints.

Trending

Subcategories trending in Content & Design

Image Generation AI Writing Assistants Audio & Music Photo Editing Graphic Design Video Editing

Trending

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce