Parallel and High-Fidelity Text-to-Lip Generation; AAAI 2022 ; Official code

Last update: Dec 21, 2022

Related tags

Overview

Parallel and High-Fidelity Text-to-Lip Generation

This repository is the official PyTorch implementation of our AAAI-2022 paper, in which we propose ParaLip (for text-based talking face synthesis) .

Video Demos

P+22M_si1076.mp4

Video samples can be found in our demo page.

🚀 News:

Feb.24, 2022: Our new work, NeuralSVB was accepted by ACL-2022 . Project Page.
Dec.01, 2021: ParaLip was accepted by AAAI-2022.
July.14, 2021: We submitted ParaLip to Arxiv .

Environments

conda create -n your_env_name python=3.7
source activate your_env_name 
pip install -r requirements.txt

ParaLip

1. Preparation

Data Preparation

We provide the first frame of each test example for inference. Besides, we include the audio pieces of 5 test examples to generate talking lip videos with human voice.

a) Download and decompress the TCD-TIMIT dataset, then put them in the data directory

tar -xvf timit.tar
mv timit data/

b) Run the following scripts to pack the dataset for inference.

export PYTHONPATH=.
python datasets/lipgen/timit/gen_timit.py --config configs/lipgen/timit/lipgen_timit.yaml

We don't provide the full datasets of TCD-TIMIT because of the licence issue. You can download it by yourself if necessary.

2. Inference Example

CUDA_VISIBLE_DEVICES=0 python tasks/timit_lipgen_task.py --config configs/lipgen/timit/lipgen_timit.yaml --exp_name timit_2 --infer --reset

We also provide:

the pre-trained model of ParaLip on TCD-TIMIT. Remember to put the pre-trained models in checkpoints/timit_2 directory respectively.

Citation

@misc{https://doi.org/10.48550/arxiv.2107.06831,
  doi = {10.48550/ARXIV.2107.06831},
  
  url = {https://arxiv.org/abs/2107.06831},
  
  author = {Liu, Jinglin and Zhu, Zhiying and Ren, Yi and Huang, Wencan and Huai, Baoxing and Yuan, Nicholas and Zhao, Zhou},
  
  keywords = {Multimedia (cs.MM), Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences},
  
  title = {Parallel and High-Fidelity Text-to-Lip Generation},
  
  publisher = {arXiv},
  
  year = {2021},
  
  copyright = {arXiv.org perpetual, non-exclusive license}
}

You might also like...

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis Jungil Kong, Jaehyeon Kim, Jaekyoung Bae In our paper, we p

31 Dec 8, 2022

Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

Neural Spatio-Temporal Point Processes [arxiv] Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel Abstract. We propose a new class of parameterizations

75 Dec 19, 2022

《Towards High Fidelity Face Relighting with Realistic Shadows》(CVPR 2021)

Towards High Fidelity Face-Relighting with Realistic Shadows Andrew Hou, Ze Zhang, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu. In CVPR, 2021. T

114 Dec 10, 2022

Tensorflow python implementation of "Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos"

Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos This repository is the official tensorflow python implementation

287 Jan 6, 2023

A two-stage U-Net for high-fidelity denoising of historical recordings

A two-stage U-Net for high-fidelity denoising of historical recordings Official repository of the paper (not submitted yet): E. Moliner and V. Välimäk

57 Jan 5, 2023

Implementation for HFGI: High-Fidelity GAN Inversion for Image Attribute Editing

HFGI: High-Fidelity GAN Inversion for Image Attribute Editing High-Fidelity GAN Inversion for Image Attribute Editing Update: We released the inferenc

371 Dec 30, 2022

SCI-AIDE : High-fidelity Few-shot Histopathology Image Synthesis for Rare Cancer Diagnosis

SCI-AIDE : High-fidelity Few-shot Histopathology Image Synthesis for Rare Cancer Diagnosis Pretrained Models In this work, we created synthetic tissue

1 Feb 7, 2022

《LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classiﬁcation》(AAAI 2021) GitHub:

LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classiﬁcation

76 Dec 5, 2022

Official implementation for paper Knowledge Bridging for Empathetic Dialogue Generation (AAAI 2021).

Knowledge Bridging for Empathetic Dialogue Generation This is the official implementation for paper Knowledge Bridging for Empathetic Dialogue Generat

50 Dec 20, 2022

Comments

How to create the *_PHN.txt for specific sentences?

Hi, I want the mouth to say sentences I specify, so I need to make phoneme files like *_PHN.txt in the timit directory. I would like to ask if there is any tool to do this?

opened by a312863063 1
How to train ParaLip?

I have already tested through the pretrained model, but i still cannot to train it. I think the code lack the trainning code. Is it available to share in the repository? Thank you!

opened by Zeqing-Wang 2

Parallel and High-Fidelity Text-to-Lip Generation; AAAI 2022 ; Official code

Related tags

Overview

Parallel and High-Fidelity Text-to-Lip Generation

Video Demos

Environments

ParaLip

1. Preparation

Data Preparation

2. Inference Example

Citation

You might also like...

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

《Towards High Fidelity Face Relighting with Realistic Shadows》(CVPR 2021)

Tensorflow python implementation of "Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos"

A two-stage U-Net for high-fidelity denoising of historical recordings

Implementation for HFGI: High-Fidelity GAN Inversion for Image Attribute Editing

SCI-AIDE : High-fidelity Few-shot Histopathology Image Synthesis for Rare Cancer Diagnosis

《LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classiﬁcation》(AAAI 2021) GitHub:

Official implementation for paper Knowledge Bridging for Empathetic Dialogue Generation (AAAI 2021).

Comments

How to create the *_PHN.txt for specific sentences?

How to train ParaLip?

Releases(v0.1.0-alpha)

v0.1.0-alpha(Apr 24, 2022)

Owner

Zhying

FirmWire is a full-system baseband firmware emulation platform for fuzzing, debugging, and root-cause analysis of smartphone baseband firmwares

A web application that provides real time temperature and humidity readings of a house.

Serverless proxy for Spark cluster

HDMapNet: A Local Semantic Map Learning and Evaluation Framework

PFFDTD is an open-source FDTD simulator for 3D room acoustics

(JMLR' 19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Official PyTorch implementation of Learning Intra-Batch Connections for Deep Metric Learning (ICML 2021) published at International Conference on Machine Learning

Effect of Different Encodings and Distance Functions on Quantum Instance-based Classifiers

Deep Compression for Dense Point Cloud Maps.

Aerial Single-View Depth Completion with Image-Guided Uncertainty Estimation (RA-L/ICRA 2020)

StyleGAN2-ADA-training-jupyter - Training custom datasets in styleGAN2-ADA by NVIDIA using Jupyter

Implementation of the bachelor's thesis "Real-time stock predictions with deep learning and news scraping".

Official PyTorch implementation of "ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows"

🥇Samsung AI Challenge 2021 1등 솔루션입니다🥇

modelvshuman is a Python library to benchmark the gap between human and machine vision

Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification

A motion tracking system for any arbitaray points in a video frame.

Unofficial implementation of Pix2SEQ

SimpleDepthEstimation - An unified codebase for NN-based monocular depth estimation methods

Fast Learning of MNL Model From General Partial Rankings with Application to Network Formation Modeling