Animation voca RBC - France
Is VOCA a realistic 3D facial animation model?
To our knowledge, VOCA is the only realistic 3D facial animation model that is readily applicable to unseen subjects without retargeting. This makes VOCA suitable for tasks like in-game video, virtual reality avatars, or any scenario in which the speaker, speech, or language is not known in advance.
What is voice operated character animation (VOCA)?
The learned model, VOCA (Voice Operated Character Animation) takes any speech signal as input - even speech in languages other than English - and realistically animates a wide range of adult faces. Conditioning on subject labels during training allows the model to learn a variety of realistic speaking styles.
What is VOCA & how does it work?
VOCA also provides animator controls to alter speaking style, identity-dependent facial shape, and pose (i.e. head, jaw, and eyeball rotations) during animation. To our knowledge, VOCA is the only realistic 3D facial animation model that is readily applicable to unseen subjects without retargeting.
Overview
This is an official VOCA repository. VOCA is a simple and generic speech-driven facial animation framework that works across a range of identities. This codebase demonstrates how to synthesize realistic character animations given an arbitrary speech signal and a static character mesh. For details please see the scientific publication github.com
Video
See the demo video for more details and results. github.com
Set-up
The code uses Python 3.6.8 and it was tested on Tensorflow 1.14.0. Install pip and virtualenv Install ffmpeg Clone the git project: Set up virtual environment: Activate virtual environment: github.com
Data
Data to run the demo Download the trained VOCA model, audio sequences, and template meshes from MPI-IS/VOCA. Download FLAME model from MPI-IS/FLAME. Download the trained DeepSpeech model (v0.1.0) from Mozilla/DeepSpeech (i.e. deepspeech-0.1.0-models.tar.gz). Data used to train VOCA VOCA is trained on VOCASET, a unique 4D face dataset with about 29 minutes of 4D scans captured at 60 fps and synchronized audio from 12 speakers that can be downloaded at MPI-IS/VOCASET. github.com
Demo
We provide demos to 1.synthesize a character animation given an speech signal (VOCA), 2.add eye blinks, alter identity dependent face shape and head pose of an animation sequence using FLAME, and 3.generate templates (e.g. by sampling the FLAME identity shape space, or by reconstructing a template from an image using RingNet that can be animated with VOCA.) VOCA output This demo runs VOCA, which outputs the animation meshes given audio sequences, and renders the animation sequence to a video. github.com
Training
We provide code to train a VOCA model. Prior to training, run the VOCA output demo, as the training shares the requirements. Additionally, download the VOCA training data from MPI-IS/VOCA. The training code requires a config file containing all model training parameters. To create a config file, run To start training, run To visualize the training progress, run github.com
Known issues
If you get an error like please check if the MPI-IS/mesh is successfully installed within the virtual environment. github.com
License
Free for non-commercial and scientific research purposes. By using this code, you acknowledge that you have read the license terms (https://voca.is.tue.mpg.de/license.html), understand them, and agree to be bound by them. If you do not agree with these terms and conditions, you must not use the code. github.com
Referencing VOCA
If you find this code useful for your research, or you use results generated by VOCA in your research, please cite following paper: github.com
Acknowledgement
We thank Raffi Enficiaud and Ahmed Osman for pushing the release of psbody.mesh. github.com
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Animation voca RBC - Documentation - site de linspection de
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