Official PyTorch implementation of the paper "Graph-based Generative Face Anonymisation with Pose Preservation" in ICIAP 2021

Related tags

Deep Learninganonygan
Overview

License CC BY-NC-SA 4.0 Python 3.6 Packagist

Contents

AnonyGAN

| Paper |
Graph-based Generative Face Anonymisation with Pose Preservation
Nicola Dall'Asen12, Yiming Wang3, Hao Tang4, Luca Zanella3, Elisa Ricci23.
1University of Pisa, Italy, 2University of Trento, Italy, 3Fondazione Bruno Kessler, Italy, 4ETH Zürich, Switzerland.
In ICIAP 2021.
The repository offers the official implementation of our paper in PyTorch.

Installation

Clone this repo.

git clone [email protected]:Fodark/anonygan.git
cd anonygan/

Needed libraries are provided in the requirements.txt file.

pip install -r requirements.txt should suffice.

Dataset Preparation

  • Download aligned CelebA here
  • Extract aligned version
  • Compute landmarks and mask with the code provided in preparation (modify paths accordingly)

Generating Images Using Pretrained Model

  • Download pretrained model here
  • Place it in ckpts/anonygan.ckpt
  • Preprocess your images with the files in preparation
  • Prepare a .csv files with columns [from, to] with condition and source images names
  • Run test.sh modifying paths accordingly

Train and Test New Models

  • Same as using the pretrained model, for training modify train.sh accordingly

Evaluation

evaluation/automatic_evaluation is the entry point, modify paths accordingly

Acknowledgments

Graph reasoning inspired by BiGraphGAN

Citation

If you use this code for your research, please consider giving a star and citing our paper!

@inproceedings{dallasen2021anonygan,
  title={Graph-based Generative Face Anonymisation with Pose Preservation},
  author={Dall'Asen, Nicola and Wang, Yiming and Tang, Hao and Zanella, Luca and Ricci, Elisa},
  booktitle={International Conference on Image analysis and Processing},
  year={2021}
}

Contributions

If you have any questions/comments/bug reports, feel free to open a github issue or pull a request or e-mail to the author Nicola Dall'Asen ([email protected]).

Owner
Nicola Dall'Asen
AI PhD student @ University of Pisa and Trento, Italy.
Nicola Dall'Asen
MoveNet Single Pose on OpenVINO

MoveNet Single Pose tracking on OpenVINO Running Google MoveNet Single Pose models on OpenVINO. A convolutional neural network model that runs on RGB

35 Nov 11, 2022
Shape-Adaptive Selection and Measurement for Oriented Object Detection

Source Code of AAAI22-2171 Introduction The source code includes training and inference procedures for the proposed method of the paper submitted to t

houliping 24 Nov 29, 2022
Deal or No Deal? End-to-End Learning for Negotiation Dialogues

Introduction This is a PyTorch implementation of the following research papers: (1) Hierarchical Text Generation and Planning for Strategic Dialogue (

Facebook Research 1.4k Dec 29, 2022
This repo is the code release of EMNLP 2021 conference paper "Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories".

Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories This repo is the code release of EMNLP 2021 con

12 Nov 22, 2022
True per-item rarity for Loot

True-Rarity True per-item rarity for Loot (For Adventurers) and More Loot A.K.A mLoot each out/true_rarity_{item_type}.json file contains probabilitie

Dan R. 3 Jul 26, 2022
The object detection pipeline is based on Ultralytics YOLOv5

AYOLOv2 The main goal of this repository is to rewrite the object detection pipeline with a better code structure for better portability and adaptabil

153 Dec 22, 2022
OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Documentation: https://mmsegmentation.readthedocs.io/ English | 简体中文 Introduction MMSegmentation is an open source semantic segmentation toolbox based

OpenMMLab 5k Dec 31, 2022
This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.

Integrated Gradients This is the pytorch implementation of "Axiomatic Attribution for Deep Networks". The original tensorflow version could be found h

Tianhong Dai 150 Dec 23, 2022
MultiLexNorm 2021 competition system from ÚFAL

ÚFAL at MultiLexNorm 2021: Improving Multilingual Lexical Normalization by Fine-tuning ByT5 David Samuel & Milan Straka Charles University Faculty of

ÚFAL 13 Jun 28, 2022
An Open-Source Tool for Automatic Disease Diagnosis..

OpenMedicalChatbox An Open-Source Package for Automatic Disease Diagnosis. Overview Due to the lack of open source for existing RL-base automated diag

8 Nov 08, 2022
RoadMap and preparation material for Machine Learning and Data Science - From beginner to expert.

ML-and-DataScience-preparation This repository has the goal to create a learning and preparation roadMap for Machine Learning Engineers and Data Scien

33 Dec 29, 2022
ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet, ICCV 2021 Update: 2021/03/11: update our new results. Now our T2T-ViT-14 w

YITUTech 1k Dec 31, 2022
Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)

DQC: Differentiable Quantum Chemistry Differentiable quantum chemistry package. Currently only support differentiable density functional theory (DFT)

75 Dec 02, 2022
Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)

Discovering Non-monotonic Autoregressive Orderings with Variational Inference Description This package contains the source code implementation of the

Xuanlin (Simon) Li 10 Dec 29, 2022
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”

Tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”.

3.7k Dec 31, 2022
In this project, we create and implement a deep learning library from scratch.

ARA In this project, we create and implement a deep learning library from scratch. Table of Contents Deep Leaning Library Table of Contents About The

22 Aug 23, 2022
paper: Hyperspectral Remote Sensing Image Classification Using Deep Convolutional Capsule Network

DC-CapsNet This is a tensorflow and keras based implementation of DC-CapsNet for HSI in the Remote Sensing Letters R. Lei et al., "Hyperspectral Remot

LEI 7 Nov 29, 2022
The dataset and source code for our paper: "Did You Ask a Good Question? A Cross-Domain Question IntentionClassification Benchmark for Text-to-SQL"

TriageSQL The dataset and source code for our paper: "Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text

Yusen Zhang 22 Nov 09, 2022
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

Stock Trading Market OpenAI Gym Environment with Deep Reinforcement Learning using Keras Overview This project provides a general environment for stoc

Kim, Ki Hyun 769 Dec 25, 2022
Creating Multi Task Models With Keras

Creating Multi Task Models With Keras About The Project! I used the keras and Tensorflow Library, To build a Deep Learning Neural Network to Creating

Srajan Chourasia 4 Nov 28, 2022