Adversarial Learning for Modeling Human Motion

wangqi

Last update: Jun 15, 2021

Related tags

Deep Learning Motion_Synthesis_Adversarial_Learning

Overview

Adversarial Learning for Modeling Human Motion

This repository contains the open source code which reproduces the results for the paper: Adversarial learning for modeling human motion. The authors of this paper are: Qi Wang, Thierry Artières, Mickael Chen, and Ludovic Denoyer.

How to Reproduce the Results

For download the EMILYA dataset, you should contact the owner Catherine Pelachaud.
Clone this repository code to your computer and rename the root folder as "Seq_AAE_V1" .
Install the relevant packages
- Keras
- matlotlib
Data Preprocessing: You should save the motions in EmilyaDataset into a npz file according to the readme.md file in the folder 'datasets/EmilyaDaset/'.
For training the models in the paper, you should navigate to the "\Training" directory under the root directory of the project and there you can find the following five folders:

Conditional_SAAE

Seq_AAE

Double_GAN_Continuous_Emotion_Representation

Seq_VAE

Double_Gan_Condition_SAAE

These folders are named by the model's name. Enter each of the folders, you can find the training file and evaluation scripts in a subfolder named '\evaluation'. By running the training file in terminal, you can train the model from scratch. If you want to tune the hyperparameters, you can directly modified them in the training file.

You might also like...

(ICCV 2021) ProHMR - Probabilistic Modeling for Human Mesh Recovery

ProHMR - Probabilistic Modeling for Human Mesh Recovery Code repository for the paper: Probabilistic Modeling for Human Mesh Recovery Nikos Kolotouros

209 Dec 13, 2022

[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

UAV-Human Official repository for CVPR2021: UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicle Paper arXiv Res

129 Jan 4, 2023

Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors, CVPR 2021

Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors Human POSEitioning System (H

66 Dec 21, 2022

Human Action Controller - A human action controller running on different platforms.

Human Action Controller (HAC) Goal A human action controller running on different platforms. Fun Easy-to-use Accurate Anywhere Fun Examples Mouse Cont

27 Jul 20, 2022

Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.

99 Dec 31, 2022

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

StyleGAN-Human: A Data-Centric Odyssey of Human Generation Abstract: Unconditional human image generation is an important task in vision and graphics,

762 Jan 8, 2023

Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN)

Flickr-Faces-HQ Dataset (FFHQ) Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative

2.9k Dec 28, 2022

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

Adversarial Training Against Location-Optimized Adversarial Patches arXiv | Paper | Code | Video | Slides Code for the paper: Sukrut Rao, David Stutz,

32 Dec 13, 2022

Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter

ACE Please find the preliminary version published at BMVC 2020 in the folder BMVC_version, and its extended journal version in Journal_version. Datase

28 Dec 25, 2022

Comments

Missing folder: "synthesis_scripts"
Hi Qi Wang,

There appears to be a missing folder /synthesis_scripts at the root folder: [Motion_Synthesis_Advserarial_Learning](https://github.com/lucaskingjade/Motion_Synthesis_Adversarial_Learning), which is referenced by the code by its alias: Seq_AAE_V1.

Several piece of code depend on this folder such as [dataset.py](https://github.com/lucaskingjade/Motion_Synthesis_Adversarial_Learning/blob/master/datasets/dataset.py) and [seq_aae_new_loss.py](https://github.com/lucaskingjade/Motion_Synthesis_Adversarial_Learning/blob/master/models/Seq_AAE/seq_aae_new_loss.py) in their imports such as:

from Seq_AAE_V1.synthesis_scripts.synthesis_utils import denormalize,denormalize_vertical_position

from Seq_AAE_V1.synthesis_scripts.synthesis_utils import save_seq_2_bvh

Could you please upload this missing folder?

Many thanks, Anthony
opened by INASIC 2
Missing Conditional SAAE model

Hey Qi Wang,

First of all, thanks for this interesting project! I just noticed, that the folder for the Conditional SAAE model seems to be missing. Could you add the missing files, as this is the model I am most interested in?

Thank you in advance!

opened by 16stelter 0

Adversarial Learning for Modeling Human Motion

Related tags

Overview

Adversarial Learning for Modeling Human Motion

How to Reproduce the Results

You might also like...

(ICCV 2021) ProHMR - Probabilistic Modeling for Human Mesh Recovery

[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors, CVPR 2021

Human Action Controller - A human action controller running on different platforms.

Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN)

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter

Comments

Missing folder: "synthesis_scripts"

Missing Conditional SAAE model

Owner

wangqi

This repository contains the code for the paper "Hierarchical Motion Understanding via Motion Programs"

Implementation based on Paper - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

PaddleRobotics is an open-source algorithm library for robots based on Paddle, including open-source parts such as human-robot interaction, complex motion control, environment perception, SLAM positioning, and navigation.

EasyMocap is an open-source toolbox for markerless human motion capture from RGB videos.

Synthesizing Long-Term 3D Human Motion and Interaction in 3D in CVPR2021

[WACV 2020] Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints

Code for ICCV 2021 paper "HuMoR: 3D Human Motion Model for Robust Pose Estimation"

Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021

Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space"

This repository is the offical Pytorch implementation of ContextPose: Context Modeling in 3D Human Pose Estimation: A Unified Perspective (CVPR 2021).