Multi-garment net: Learning to dress 3d people from images

BL Bhatnagar, G Tiwari, C Theobalt… - Proceedings of the …, 2019 - openaccess.thecvf.com
Abstract We present Multi-Garment Network (MGN), a method to predict body shape and
clothing, layered on top of the SMPL model from a few frames (1-8) of a video. Several …

ClothCap: Seamless 4D clothing capture and retargeting

G Pons-Moll, S Pujades, S Hu, MJ Black - ACM Transactions on …, 2017 - dl.acm.org
Designing and simulating realistic clothing is challenging. Previous methods addressing the
capture of clothing from 3D scans have been limited to single garments and simple motions …

Smart fashion: a review of AI applications in the Fashion & Apparel Industry

SO Mohammadi, A Kalhor - arXiv preprint arXiv:2111.00905, 2021 - arxiv.org
The fashion industry is on the verge of an unprecedented change. The implementation of
machine learning, computer vision, and artificial intelligence (AI) in fashion applications is …

Deep fashion3d: A dataset and benchmark for 3d garment reconstruction from single images

H Zhu, Y Cao, H Jin, W Chen, D Du, Z Wang… - Computer Vision–ECCV …, 2020 - Springer
High-fidelity clothing reconstruction is the key to achieving photorealism in a wide range of
applications including human digitization, virtual try-on, etc. Recent advances in learning …

Modeling clothing as a separate layer for an animatable human avatar

D Xiang, F Prada, T Bagautdinov, W Xu… - ACM Transactions on …, 2021 - dl.acm.org
We have recently seen great progress in building photorealistic animatable full-body codec
avatars, but generating high-fidelity animation of clothing is still difficult. To address these …

Learning a shared shape space for multimodal garment design

TY Wang, D Ceylan, J Popovic, NJ Mitra - arXiv preprint arXiv:1806.11335, 2018 - arxiv.org
Designing real and virtual garments is becoming extremely demanding with rapidly
changing fashion trends and increasing need for synthesizing realistic dressed digital …

Simulcap: Single-view human performance capture with cloth simulation

T Yu, Z Zheng, Y Zhong, J Zhao, Q Dai… - Proceedings of the …, 2019 - openaccess.thecvf.com
This paper proposes a new method for live free-viewpoint human performance capture with
dynamic details (eg, cloth wrinkles) using a single RGBD camera. Our main contributions …

Fully convolutional graph neural networks for parametric virtual try‐on

R Vidaurre, I Santesteban, E Garces… - Computer Graphics …, 2020 - Wiley Online Library
We present a learning‐based approach for virtual try‐on applications based on a fully
convolutional graph neural network. In contrast to existing data‐driven models, which are …

3D interactive garment pattern-making technology

K Liu, X Zeng, P Bruniaux, X Tao, X Yao, V Li… - Computer-Aided …, 2018 - Elsevier
The traditional pattern-making process is very time-consuming and requires professional
fashion design knowledge. In order to develop a form-fitting garment to meet customer's …

Physics-inspired garment recovery from a single-view image

S Yang, Z Pan, T Amert, K Wang, L Yu, T Berg… - ACM Transactions on …, 2018 - dl.acm.org
Most recent garment capturing techniques rely on acquiring multiple views of clothing, which
may not always be readily available, especially in the case of pre-existing photographs from …