Simulated garment dataset for virtual try-on

This repository contains the dataset used in the following papers:

Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On (CVPR 2021) [Project website] [Video]
Learning-Based Animation of Clothing for Virtual Try-On (Eurographics 2019) [Project website] [Video]

Dataset

The data is generated used a modified version of ARCSim and sequences from the CMU Motion Capture Database converted to SMPL format in SURREAL. Each simulated sequence is stored as a .pkl file that contains the following data:

Key	Description	Dimension
shapes	SMPL shape coefficients	[num_frames, 10]
poses	SMPL pose coefficients	[num_frames, 75]
vertices	Vertices of the simulated garment	[num_frames, num_vertices, 3]
faces	Faces of the garment	[num_faces, 3]
sequence	Sequence identifier
subject	Subject identifier
conf	ARCSim configuration

Extract meshes

Requirements: python3, numpy-1.21.3

To extract the simulated garment meshes as .obj run the following script:

python extract_meshes.py tshirt/simulations/tshirt_shape00_01_01.pkl

Citation

If you find this dataset useful please cite our work:

@article {santesteban2021garmentcollisions,
    journal = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    title = {{Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On}},
    author = {Santesteban, Igor and Thuerey, Nils and Otaduy, Miguel A and Casas, Dan},
    year = {2021}
}

@article {santesteban2019virtualtryon,
    journal = {Computer Graphics Forum (Proc. Eurographics)},
    title = {{Learning-Based Animation of Clothing for Virtual Try-On}},
    author = {Santesteban, Igor and Otaduy, Miguel A. and Casas, Dan},
    year = {2019},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13643}
}

Simulated garment dataset for virtual try-on

Related tags

Overview

Simulated garment dataset for virtual try-on

Dataset

Extract meshes

Citation

Owner

This is project is the implementation of the DeepShift: Towards Multiplication-Less Neural Networks paper

A library for optimization on Riemannian manifolds

“Robust Lightweight Facial Expression Recognition Network with Label Distribution Training”, AAAI 2021.

SegNet including indices pooling for Semantic Segmentation with tensorflow and keras

🐦 Quickly annotate data from the comfort of your Jupyter notebook

Jremesh-tools - Blender addon for quad remeshing

Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

Unofficial implement with paper SpeakerGAN: Speaker identification with conditional generative adversarial network

Python PID Tuner - Makes a model of the System from a Process Reaction Curve and calculates PID Gains

GAN encoders in PyTorch that could match PGGAN, StyleGAN v1/v2, and BigGAN. Code also integrates the implementation of these GANs.

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

Code for Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? (SDM 2022)

Hard cater examples from Hopper ICLR paper

Code for our paper: Online Variational Filtering and Parameter Learning

Official implementation of NeuralFusion: Online Depth Map Fusion in Latent Space

It's A ML based Web Site build with python and Django to find the breed of the dog

PyTorch(Geometric) implementation of G^2GNN in "Imbalanced Graph Classification via Graph-of-Graph Neural Networks"

Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)