Unofficial implementation of One-Shot Free-View Neural Talking Head Synthesis

Related tags

Deep Learningface-vid2vid
Overview

face-vid2vid

Usage

Dataset Preparation

cd datasets
wget https://yt-dl.org/downloads/latest/youtube-dl -O youtube-dl
chmod a+rx youtube-dl
python load_videos.py --workers=8
cd ..

Pretrained Headpose Estimator

300W-LP, alpha 1, robust to image quality

Put hopenet_robust_alpha1.pkl here

Train

python train.py --batch_size=4 --gpu_ids=0,1,2,3 --num_epochs=100 (--ckp=10)

On 2080Ti, setting batch_size=4 makes up gpu memory

Evaluate

Reconstruction：

python evaluate.py --ckp=99 --source=r --driving=datasets/vox/test/id10280#NXjT3732Ekg#001093#001192.mp4

The first frame is used as source by default

Motion transfer：

python evaluate.py --ckp=99 --source=test.png --driving=datasets/vox/test/id10280#NXjT3732Ekg#001093#001192.mp4

Example after training for 7 days on 4 2080Ti:

show

Face Frontalization：

python evaluate.py --ckp=99 --source=f --driving=datasets/vox/train/id10192#S5yV10aCP7A#003200#003334.mp4

Acknowlegement

Thanks to NV, Imaginaire, AliaksandrSiarohin and DeepHeadPose

Owner
worstcoder
Third-year undergraduate. Computer Science & Machine Learning
worstcoder
GitHub Repository
Code for Referring Image Segmentation via Cross-Modal Progressive Comprehension, CVPR2020.

CMPC-Refseg Code of our CVPR 2020 paper Referring Image Segmentation via Cross-Modal Progressive Comprehension. Shaofei Huang*, Tianrui Hui*, Si Liu,

spyflying 55 Dec 01, 2022
A foreign language learning aid using a neural network to predict probability of translating foreign words

Langy Langy is a reading-focused foreign language learning aid orientated towards young children. Reading is an activity that every child knows. It is

Shona Lowden 6 Nov 17, 2021
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking

SPLADE 🍴 + 🥄 = 🔎 This repository contains the weights for four models as well as the code for running inference for our two papers: [v1]: SPLADE: S

NAVER 170 Dec 28, 2022
Code to generate datasets used in "How Useful is Self-Supervised Pretraining for Visual Tasks?"

Synthetic dataset rendering Framework for producing the synthetic datasets used in: How Useful is Self-Supervised Pretraining for Visual Tasks? Alejan

Princeton Vision & Learning Lab 21 Apr 29, 2022
Official PyTorch code of Holistic 3D Scene Understanding from a Single Image with Implicit Representation (CVPR 2021)

Implicit3DUnderstanding (Im3D) [Project Page] Holistic 3D Scene Understanding from a Single Image with Implicit Representation Cheng Zhang, Zhaopeng C

Cheng Zhang 149 Jan 08, 2023
Improving adversarial robustness by a coupling rejection strategy

Adversarial Training with Rectified Rejection The code for the paper Adversarial Training with Rectified Rejection. Environment settings and libraries

Tianyu Pang 29 Jan 06, 2023
Code of the lileonardo team for the 2021 Emotion and Theme Recognition in Music task of MediaEval 2021

Emotion and Theme Recognition in Music The repository contains code for the submission of the lileonardo team to the 2021 Emotion and Theme Recognitio

Vincent Bour 8 Aug 02, 2022
Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

TransGanFormer (wip) Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GansFormer and TransGan paper. I

Phil Wang 146 Dec 06, 2022
Official implementation of "SinIR: Efficient General Image Manipulation with Single Image Reconstruction" (ICML 2021)

SinIR (Official Implementation) Requirements To install requirements: pip install -r requirements.txt We used Python 3.7.4 and f-strings which are in

47 Oct 11, 2022
Weakly Supervised End-to-End Learning (NeurIPS 2021)

WeaSEL: Weakly Supervised End-to-end Learning This is a PyTorch-Lightning-based framework, based on our End-to-End Weak Supervision paper (NeurIPS 202

Auton Lab, Carnegie Mellon University 131 Jan 06, 2023
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Monitor deep learning model training and hardware usage from mobile. 🔥 Features Monitor running experiments from mobile phone (or laptop) Monitor har

labml.ai 1.2k Dec 25, 2022
Using pytorch to implement unet network for liver image segmentation.

Using pytorch to implement unet network for liver image segmentation.

zxq 1 Dec 17, 2021
Pre-trained NFNets with 99% of the accuracy of the official paper

NFNet Pytorch Implementation This repo contains pretrained NFNet models F0-F6 with high ImageNet accuracy from the paper High-Performance Large-Scale

Benjamin Schmidt 133 Dec 09, 2022
Multi Agent Reinforcement Learning for ROS in 2D Simulation Environments

IROS21 information To test the code and reproduce the experiments, follow the installation steps in Installation.md. Afterwards, follow the steps in E

11 Oct 29, 2022
Fake News Detection Using Machine Learning Methods

Fake-News-Detection-Using-Machine-Learning-Methods Fake news is always a real and dangerous issue. However, with the presence and abundance of various

Achraf Safsafi 1 Jan 11, 2022
Evaluation suite for large-scale language models.

This repo contains code for running the evaluations and reproducing the results from the Jurassic-1 Technical Paper (see blog post), with current support for running the tasks through both the AI21 S

71 Dec 17, 2022
Embodied Intelligence via Learning and Evolution

Embodied Intelligence via Learning and Evolution This is the code for the paper Embodied Intelligence via Learning and Evolution Agrim Gupta, Silvio S

Agrim Gupta 111 Dec 13, 2022
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

Core ML Tools Use coremltools to convert machine learning models from third-party libraries to the Core ML format. The Python package contains the sup

Apple 3k Jan 08, 2023
This repo contains the source code and a benchmark for predicting user's utilities with Machine Learning techniques for Computational Persuasion

Machine Learning for Argument-Based Computational Persuasion This repo contains the source code and a benchmark for predicting user's utilities with M

Ivan Donadello 4 Nov 07, 2022
An implementation of Deep Graph Infomax (DGI) in PyTorch

DGI Deep Graph Infomax (Veličković et al., ICLR 2019): https://arxiv.org/abs/1809.10341 Overview Here we provide an implementation of Deep Graph Infom

Petar Veličković 491 Jan 03, 2023